出版物 

书籍:

é  Long Cheng, Andrew C.S. Leung, Seiichi Ozawa (Eds), Neural Information Processing, Springer Lecture Notes in Computer Science, vols. 11301-11307, Proceedings of the 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, December 13-16, 2018.

é  Long Cheng, Qingshan Liu, Andrey Ronzhin (Eds), Advances in Neural Networks, Springer Lecture Notes in Computer Science, vol. 9719, Proceedings of the 13th International Symposium on Neural Networks (ISNN 2016), St. Petersburg, Russia, July 6-8, 2016.

专著:

é  Zeng-Guang Hou, Long Cheng, Min Tan, Xu Wang “Distributed adaptive coordinated control of multi- manipulator systems using neural networks”, in Robot Intelligence: An Advanced Knowledge Processing Approach, Liu, H., Gu, D., Howlett, R. and Liu, Y. (Eds.), Springer-Verlag, London, August 2010, pp. 49–69. (ISBN: 978-1-84996-328-2)

刊物:

é  Hesheng Wang, Hanlei Wang, Long Cheng, Xuebo Zhang, “Robotic control for industrial and service appli- cations,” Assembly Automation, vol. 39, no. 3, pp. 393–393, 2019.

é  Zeng-Guang Hou, Xingang Zhao, Long Cheng, Qining Wang, Weiqun Wang, “Recent advances in rehabil- itation robots and intelligent assistance systems,” Acta Automatica Sinica, vol. 42, no. 12, pp. 1765–1779, 2016.

é  Zhigang Zeng, Andrzej Cichocki, Long Cheng, Youshen Xia, Xiaolin Hu, “Guest Editorial: Special issue on neurodynamic systems for optimization and applications”, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 210–213, 2016.

é  Zeng-Guang Hou, Long Cheng, Zhigang Zeng, Min Tan, “Editorial to special issue: neural networks for biomedical engineering: information processing, modeling, and control”, Neural Computing & Applica- tions, vol. 20, no. 8, pp. 1129–1130, 2011.

期刊论文:

é  Muyuan Ma, Long Cheng, “A human-robot collaboration controller utilizing confidence for disagreement adjustment,” IEEE Transactions on Robotics, vol. 40, pp. 2081–2097, 2024.

é  Guotao Li, Can Zhang, Can Su, Zhijie Liu, Xu Liang, Long Cheng, Zeng-Guang Hou, “Multi-contact intrinsic force sensing method of a flexible finger for hand assistance,” IEEE Transactions on Instrumentation and Measurement, accepted, 2024.

é  Xiaocun Liao, Chao Zhou, Long Cheng, Jian Wang, Junfeng Fan, Zhuoliang Zhang, “A fast online elastic spine-based stiffness adjusting mechanism for fishlike swimming,” Soft Robotics, accepted, 2024.

é  Shijie Qin, Houcheng Li, Long Cheng, “A hybrid controller for musculoskeletal robots targeting lifting tasks in industrial metaverse,” IEEE Transactions on Cybernetics, in press, DOI: 10.1109/TCYB.2024.3358739, 2024.

é  Guotao Li, Long Cheng, Can Zhang, “Design and modeling of a bioinspired flexible finger exoskeleton for strength augmentation,” IEEE/ASME Transactions on Mechatronics, in press, 2024.3375873, 2024.

é  Haoqian Song, Weiwei Song, Long Cheng, Yue Wei, Jinqiang Cui, “PDD: Post-disaster dataset for human detection and performance evaluation,” IEEE Transactions on Instrumentation and Measurement, vol. 73, art no. 5501214, 2024.

é  Yu Wang, Hongfei Chu, Ruichen Ma, Xuejian Bai, Long Cheng, Shuo Wang, Min Tan, “Learning based discontinuous path following control for a biomimetic underwater vehicle,” Research, vol. 7, article no.0299, 2024.

é  Chenguang Yang, Chao Zeng, Long Cheng, “Toward generalizable robotic dual-arm flipping manipulation,”IEEE Transactions on Industrial Electronics, vol. 71, no. 5, pp. 4954–4962, 2024.

é  Yaming Ou, Junfeng Fan, Chao Zhou, Long Cheng, Min Tan, “Water-MBSL: underwater movable binocular structured light-based high-precision dense reconstruction framework,” IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 6142–6154, 2024.

é  Ran Cao, Long Cheng, Houcheng Li, “Passive model predictive impedance control for safe physical human robot interaction,” IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 2, pp. 426–435, 2024.

é  Zeyu Liu, Long Cheng, Zhengwei Li, “A pressure-based high-quality wrist pulse measurement system with an application in emotion analysis,” IEEE Sensors Journal, DOI: 10.1109/JSEN.2023.3299571, 2023.

é  Zhuoliang Zhang, Chao Zhou, Long Cheng, Xiaofei Wang, Min Tan, “Real-time velocity vector resolving of artificial lateral line array with fishlike motion noise suppression,” IEEE Transactions on Robotics, DOI: 10.1109/TRO.2023.3297050, 2023.

é  Chenguang Yang, Chao Zeng, Long Cheng, “Toward generalizable robotic dual-arm flipping manipulation,”IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2023.3288189, 2023.

é  Long Cheng, Ang Wang, Shijie Qin, “A fuzzy model predictive controller for stick-slip type piezoelectric actuators,” Optimal Control, Applications and Methods, vol. 44, no. 3, pp. 1058–1073, 2023.

é  Ning Sun, Long Cheng, Xiuze Xia, Lijun Han, “Design and optimization of an index finger exoskeleton with semi-wrapped fixture and series elastic actuator,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 2622–2631, 2023.

é  Yongxiang Zou, Long Cheng, Lijun Han, “Reconstruction of incomplete surface electromyography based on an adversarial autoencoder network,” Biomedical Signal Processing and Control, vo. 86, article no. 105804, 2023.

é  Ran Cao, Long Cheng, Houcheng Li, “Passive model predictive impedance control for safe physical human- robot interaction,” IEEE Transactions on Cognitive and Developmental Systems, in press, DOI: 10.1109/TCD- S.2023.3275217, 2023.

é  Ruichen Ma, Yu Wang, Shuo Wang, Long Cheng, Rui Wang, Min Tan, “Sample-observed soft actor-critic learning for path following of a biomimetic underwater vehicle,” IEEE Transactions on Automation Science and Engineering, in press, DOI: 10.1109/TASE.2023.3264237, 2023.

é  Yongxiang Zou, Long Cheng, Lijun Han, Zhengwei Li, Luping Song, “Decoding electromyographic signal with multiple labels for hand gesture recognition,” IEEE Signal Processing Letters, vol. 30, pp. 483–487, 2023.

é  Yaming Ou, Junfeng Fan, Chao Zhou, Shifei Tian, Long Cheng, Min Tan, “Binocular structured light 3D reconstruction system for low-light underwater environments: design, modeling and laser-based calibration,” IEEE Transactions on Instrumentation & Measurement, DOI: 10.1109/TIM.2023.3261941, 2023.

é  Yongxiang Zou, Long Cheng, “Multi-modal fusion for robust hand gesture recognition based on heteroge- neous networks,” Science China Technological Sciences, in press, DOI: 10.1007/s11431-022-2345-2, 2023.

é  Jiantao Yang, Tairen Sun, Long Cheng, Zeng-Guang Hou, “Spatial repetitive impedance learning control for robot-assisted rehabilitation,” IEEE/ASME Transactions on Mechatronics, vol. 28, no. 3, pp. 1280–1290, 2022.

é  Yifa Liu, Long Cheng, “Optimal resource allocation and feasible hexagonal topology for cyber-physical systems,” Journal of Systems Science & Complexity, in press, DOI: 10.1007/s11424-023-2256-z, 2022.

é  Tiandong Zhang, Rui Wang, Shuo Wang, Yu Wang, Long Cheng, Gang Zheng, Min Tan, “Autonomous skill learning of water polo ball heading for a robotic fish: curriculum and verification,” IEEE Transactions on Cognitive and Developmental Systems, vol. 15, no. 2, pp. 865–876, 2023.

é  Chenguang Yang, Ying Zhang, Guanyi Zhao, Long Cheng, “Human-robot shared control system based on 3D point cloud and teleoperation,” Science China Technological Sciences, in press, DOI: 10.1007/s11431- 022-2205-9, 2022.

é  Xiang Dong, Jing Zhang, Long Cheng, Wenjun Xu, Huang Su, Tao Mei, “A policy gradient algorithm inte- grating long and short-term rewards for soft continuum arm control,” Science China Technological Sciences, in press, DOI: 10.1007/s11431-022-2063-8, 2022.

é  Ding Wang, Mingming Ha, Long Cheng, “Neuro-optimal trajectory tracking with value iteration of discrete- time nonlinear dynamics,” IEEE Transactions on Neural Networks and Learning Systems, in press, DOI: 10.1109/TNNLS.2021.3123444, 2021.

é  Zhengwei Li, Long Cheng, Zeyu Liu, “Intentional blocking based photoelectric soft pressure sensor with high sensitivity and stability,” Soft Robotics, vol. 10, no. 1, pp. 205–216, 2023.

é  Haoyu Zhang, Long Cheng, Yu Zhang, “Learning robust point-to-point motions adversarially: A stochastic differential equation approach,” IEEE Robotics and Automation Letters, vol. 8, no. 4, pp. 2357–2364, 2023.

é  Yifa Liu, Long Cheng, “Completely stealthy FDI attack against state estimation in networked control sys- tems,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 3, pp. 1114–1118, 2023.

é  Yuxin Wu, Deyuan Meng, Long Cheng, “Uniform convergence for directed time-varying signed networks under generalized Laplacian-class model,” Automatica, vol. 149, article no. 110839, 2023.

é  Ran Cao, Long Cheng, “Distributed dynamic event-triggered control for Euler-Lagrange multi-agent systems with parametric uncertainties,” IEEE Transactions on Cybernetics, vol. 53, no. 2, pp. 1272–1284, 2023.

é  Yu Zhang, Long Cheng, Ran Cao, Houcheng Li, Chenguang Yang, “A neural network based framework for variable impedance skills learning from demonstrations,” Robotics and Autonomous Systems, vol. 160, article no. 104312, 2023.

é  Yongxiang Zou, Long Cheng, Zhengwei Li, “A multimodal fusion model for estimating human hand force: Comparing surface electromyography and ultrasound signals,” IEEE Robotics and Automation Magazine, vol. 29, no. 4, pp. 10–24, 2022.

é  Guotao Li, Long Cheng, Ziwen Gao, Xiuze Xia, Jingang Jiang, “Development of an untethered adaptive thumb exoskeleton for delicate rehabilitation assistance,” IEEE Transactions on Robotics, vol. 38, no. 6,pp. 3514–3529, 2022.

é  Chenguang Li, Hongjun Yang, Long Cheng, Fubiao Huang, Shuang Zhao, Dongyue Li, Ruxiu Yan, “Quanti- tative assessment of hand motor function for post-stroke rehabilitation based on HAGCN and multi-modality fusion,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2032–2041, 2022.

é  Wei He, Bing Li, Xinbo Yu, Yanghe Feng, Long Cheng, Carlos Silvestre, “Adaptive constrained impedance control for human-robot co-transportation,” IEEE Transactions on Cybernetics, vol. 52, no. 12, pp. 13237– 13249, 2022.

é  Jiahao Xu, Peng Lin, Long Cheng, Hairong Dong, “Containment control with input and velocity constraints,”Automatica, vol. 142, article no. 110417, 2022.

é  Lin Tian, Yang Xu, Wenchao Xue, Long Cheng, “Consistent extended Kalman filter design for maneuvering target tracking and its application on hand position tracking,” Guidance, Navigation and Control, vol. 2, no. 2, article no. 2250008, 2022.

é  Ning Sun, Long Cheng, Xiuze Xia, “Design and hysteresis modeling of a miniaturized elastomer-based clutched torque sensor,” IEEE Transactions on Instrumentation & Measurement, vol. 71, article no. 7501409, 2022.

é  Yu Zhang, Long Cheng, Houcheng Li, Ran Cao, “Learning accurate and stable point-to-point motions: A dynamic system approach,” IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1510–1517, 2022.

é  Yifa Liu, Long Cheng, “Relentless false data injection attacks against Kalman filter based detection in smart grid,” IEEE Transactions on Control of Network Systems, vol. 9, no. 3, pp. 1238–1250, 2022.

é  Xiang Dong, Chengcheng Ren, Shuping He, Long Cheng, Shuo Wang “Finite-time sliding mode control for UVMS via T-S fuzzy approach,” Discrete and Continuous Dynamical Systems Series S, vol. 15, no. 7, pp. 1699–1712, 2022.

é  Houcheng Li, Long Cheng, Ning Sun, Ran Cao, “Design and control of an underactuated finger exoskeleton for assisting activities of daily living,” IEEE/ASME Transactions on Mechatronics, vol. 27, no. 5, pp. 2699–2709, 2022.

é  Guotao Li, Long Cheng, Ning Sun, “Design, manipulability analysis and optimization of an index finger exoskeleton for stroke rehabilitation,” Mechanism and Machine Theory, vol. 167, article no. 104526, 2022.

é  Chenguang Li, Hongjun Yang, Long Cheng, “Fugl-Meyer hand motor imagination recognition for brain- computer interfaces using only fNIRS,” Complex & Intelligent Systems, vol. 8, no. 2, pp. 731–741, 2022.

é  Xiang Dong, Long Cheng, Hu Peng, Teng Li, “FSD-SLAM: A fast semi-direct SLAM algorithm,” Complex & Intelligent Systems, vol. 8, pp. 1823–1834, 2022.

é  Yu Wang, Chong Tang, Shuo Wang, Long Cheng, Rui Wang, Min Tan, Zeng-Guang Hou, “Target tracking control of a biomimetic underwater vehicle through deep reinforcement learning,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 8, pp. 3741–3752, 2022.

é  Ben Lu, Chao Zhou, Jian Wang, Yuzhuo Fu, Long Cheng, Min Tan, “Development and stiffness optimization for a flexible-tail robotic fish,” IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 834–841, 2022.

é  Ding Wang, Long Cheng, Jun Yan, “Self-learning robust control synthesis and trajectory tracking of uncer- tain dynamics,” IEEE Transactions on Cybernetics, vol. 52, no. 1, pp. 77–86, 2022.

é  Ding Wang, Junfei Qiao, Long Cheng, “An approximate neuro-optimal solution of discounted guaranteed cost control design,” IEEE Transactions on Cybernetics, vol. 52, no. 1, pp. 278–286, 2022.

é  Rui Wang, Shuo Wang, Yu Wang, Long Cheng, Min Tan, “Development and motion control of biomimetic underwater robots: A survey,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 52, no. 2, pp. 833–844, 2022.

é  Tiandong Zhang, Rui Wang, Yu Wang, Long Cheng, Shuo Wang, Min Tan, “Design and locomotion control of a dactylopteridae-inspired biomimetic underwater vehicle with hybrid propulsion,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 2054–2066, 2022.

é  Zhuoliang Zhang, Chao Zhou, Zhiqiang Cao, Min Tan, Long Cheng, Sai Deng, Junfeng Fan, “A speed mea- surement method for underwater robots using an artificial lateral line sensor,” Smart Materials and Struc- tures, vol. 31, no. 1, article no. 015011, 2021.

é  Zhangming Du, Chao Zhou, Zhiqiang Cao, Shuo Wang, Long Cheng, Min Tan, “A neural network based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays,” Inter- national Journal of Advanced Robotic Systems, vol. 18, no. 6, article no. 17298814211057698, 2021.

é  Shijie Qin, Long Cheng, “A real-time tracking controller for piezoelectric actuators based on reinforcement learning and inverse compensation,” Sustainable Cities and Society, vol. 69, article no. 102822, 2021.

é  Zhuoliang Zhang, Chao Zhou, Zhangming Du, Lu Deng, Zhiqiang Cao, Shuo Wang, Long Cheng, Sai Deng, “A fusion measurement method for nano-displacement based on Kalman filter and neural network,” International Journal of Robotics and Automation, vol. 36, DOI: 10.2316/J.2021.206-0421, pp. 1–9, 2021.

é  Xiuze Xia, Long Cheng, “Adaptive Takagi-Sugeno fuzzy model and model predictive control of pneumatic artificial muscles,” Science China Technological Sciences, vol. 64, no. 10, pp. 2272–2280, 2021.

é  Zhengwei Li, Long Cheng, Qingkun Song, “An ultra-stretchable and highly sensitive photoelectric effect- based strain sensor: Implementation and applications,” IEEE Sensors Journal, vol. 21, no. 4, pp. 4365– 4376, 2021.

é  Houcheng Li, Long Cheng, Zhengwei Li, Wenchao Xue, “Active disturbance rejection control for a fluid- driven hand rehabilitation device,” IEEE/ASME Transactions on Mechatronics, vol. 26, no. 2, pp. 841–853, 2021.

é  Long Cheng, Weizhou Liu, Chao Zhou, Yongxiang Zou, Zeng-Guang Hou, “Automated silicon-substrate ultra-microtome for automating the collection of brain sections in array tomograph,” IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 2, pp. 389–401, 2021. (Media News by EurekAlert! AAAS)

é  Yongxiang Zou, Long Cheng, “A transfer learning model for gesture recognition based on the deep feature extracted by CNN,” IEEE Transactions on Artificial Intelligence, vol. 2, no. 5, pp. 447–458, 2021.

é  Ning Sun, Guotao Li, Long Cheng, “Design and validation of a self-aligning index finger exoskeleton for post-stroke rehabilitation,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 29,pp. 1513–1523, 2021.

é  Tairen Sun, Long Cheng, Zeng-Guang Hou, Min Tan, “Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators,” Science China Information Sciences, vol. 64, article no. 172205, 2021.

é  Ran Cao, Long Cheng, Chenguang Yang, Zhe Dong, “Iterative assist-as-needed control with interaction factor for rehabilitation robots,” Science China Technological Sciences, vol. 64, no. 4, pp. 836–846, 2021.

é  Ang Wang, Long Cheng, Chenguang Yang, Zeng-Guang Hou, “An adaptive fuzzy predictive controller with hysteresis compensation for piezoelectric actuators,” Cognitive Computation, vol. 12, pp. 736–747, 2020.

é  Chenguang Li, Long Cheng, Hongjun Yang, Yongxiang Zou, Fubiao Huang, “An automatic rehabilitation assessment system for hand function based on leap motion and ensemble learning,” Cybernetics and Systems, vol. 52, no. 1. pp. 3–25, 2020.

é  Mingxue Cai, Yu Wang, Chong Tang, Jiye Yin, Shuo Wang, Long Cheng, Rui Wang, Min Tan, “Real-time underwater onboard vision sensing system for robotic gripping,” IEEE Transactions on Instrumentation & Measurement, vol. 70, art. no. 5002611, 2021.

é  Chenguang Yang, Dianye Huang, Wei He, Long Cheng, “Neural control of robot manipulators with tra- jectory tracking constraints and input saturation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 9, pp. 4231–4242, 2021.

é  Dianye Huang, Chenguang Yang, Yongping Pan, Long Cheng, “Composite learning enhanced neural control for robot manipulator with output error constraints,” IEEE Transactions on Industrial Informatics, vol. 17, no. 1, pp. 209–218, 2021.

é  Zhengwei Li, Qingkun Song, Long Cheng, Min Tan, “Snoring detection based on a stretchable strain sensor,”Science China Information Science, vol. 64, no. 7, article no. 174201, 2021.

é  Long Cheng, Weizhou Liu, “An effective microscopic detection method for automated silicon-substrate ultra- microtome (ASUM),” Neural Processing Letters, vol. 53, no. 3, pp. 1723–1740, 2021.

é  Mingxue Cai, Yu Wang, Shuo Wang, Rui Wang, Long Cheng, Min Tan, “Prediction-based seabed terrain following control for an underwater vehicle-manipulator system,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 8, pp. 4751–4760, 2021.

é  Tairen Sun, Long Cheng, Liang Peng, Zeng-Guang Hou, Yongping Pan, “Learning impedance control of robots with enhanced transient and steady-state control performances,” Science China Information Science, vol. 63, article no. 192205, 2020.

é  Tairen Sun, Liang Peng, Long Cheng, Zeng-Guang Hou, Yongping Pan, “Stability-guaranteed variable impedance control of robots based on approximate dynamic inversion,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 7, pp. 4193–4200, 2021.

é  Chenguang Yang, Guangzhu Peng, Long Cheng, Jing Na, Zhijun Li, “Force sensorless admittance control for teleoperation of uncertain robot manipulator using neural networks,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 5, pp. 3282–3292, 2021.

é  Linghuan Kong, Wei He, Yiting Dong, Long Cheng, Chenguang Yang, Zhijun Li, “Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 3, pp. 1735–1746, 2021.

é  Long Cheng, Yang Liu, Zeng-Guang Hou, Min Tan, Dajun Du, and Minrui Fei, “A rapid spiking neural network approach with an application on hand gesture recognition,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 2, pp. 151–161, 2021.

é  Tairen Sun, Long Cheng, Weiqun Wang, Yongping Pan, “Semiglobal exponential control of Euler-Lagrange systems using a sliding-mode disturbance observer,” Automatica, vol. 112, article no. 108677, 2020.

é  Zhao Yin, Wei, He, Okyay Kaynak, Chenguang Yang, Long Cheng, Yu Wang, “Uncertainty and disturbance estimator-based control of a flapping wing aerial vehicle with unknown backlash-like hysteresis,” IEEE Transactions on Industrial Electronics, vol. 67, no. 6, pp. 4826–4835, 2020.

é  Tairen Sun, Liang Peng, Long Cheng, Zeng-Guang Hou, Yongping Pan, “Composite learning enhanced robot impedance control,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 3,pp. 1052–1059, 2020.

é  Jiazheng Zhang, Long Jin, Long Cheng, “RNN for perturbed manipulability optimization of manipulators based on a distributed scheme: a game-theoretic perspective,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 12, pp. 5116–5126, 2020.

é  Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, “Exponential finite-time consensus of fractional- order multi-agent systems,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 50, no. 4,pp. 1549–1558, 2020.

é  Zhangming Du, Chao Zhou, Tianlu Zhang, Lu Deng, Zhiqiang Cao, Long Cheng, “A measuring method for nano displacement based on fusing data of self-sensing and time-digit conversion,” IEEE Access, vol. 7, pp. 183070–183080, 2019.

é  Chenguang Yang, Yiming Jiang, Jing Na, Zhijun Li, Long Cheng, Chunyi Su, “Finite-time convergence adaptive fuzzy control of uncertain dual-arm robot with unknown kinematics and dynamics,” IEEE Trans- actions on Fuzzy Systems, vol. 27, no. 3, pp. 574-588, 2019.

é  Chenguang Yang, Guangzhu Peng, Yanan Li, Rongxin Cui, Long Cheng, Zhijun Li, “Neural networks en- hanced adaptive admittance control of optimized robot-environment interaction,” IEEE Transactions on Cybernetics, vol. 49, no. 7, pp. 2568–2579, 2019.

é  Long Cheng, Miao Chen, Zhengwei Li, “Design and control of a wearable hand rehabilitation robot,” IEEE Access, vol. 6, pp. 74039–74050, 2018.

é  Tingting Su, Long Cheng, Yunkuan Wang, Xu Liang, Jun Zheng, Haojian Zhang, “Time-optimal trajectory planning for Delta robot based on quintic pythagorean-hodograph curves,” IEEE Access, vol. 6, pp. 28530– 28539, 2018.

é  Jing Wang, Qilun Wang, Jinglin Zhou, Xiaohui Wang, Long Cheng, “Operation space design of micro- bial fuel cells combined anaerobic-anoxic-oxic process based on support vector regression inverse model,” Engineering Applications of Artificial Intelligence, vol. 72, pp. 340–349, 2018.

é  Long Cheng, Weichuan Liu, Chenguang Yang, Zeng-Guang Hou, Tingwen Huang, Min Tan, “A neural- network-based controller for piezoelectric-actuated stick-slip devices,” IEEE Transactions on Industrial Electronics, vol. 65, no. 3, pp. 2598–2607, 2018.

é  Long Cheng, Weichuan Liu, Zeng-Guang Hou, Tingwen Huang, Junzhi Yu, Min Tan, “An adaptive Takagi- Sugeno model based fuzzy predictive controller for piezoelectric actuators,” IEEE Transactions on Indus- trial Electronics, vol. 64, no. 4, pp. 3048–3058, 2017.

é  Chenguang Yang, Xinyu Wang, Long Cheng, Hongbin Ma, “Neural-learning based telerobot control with guaranteed performance,” IEEE Transactions on Cybernetics, vol. 47, no. 10, pp. 3148–3159, 2017.

é  Chao Zhou, Lu Deng, Long Cheng, Zhiqiang Cao, Shuo Wang and Min Tan, “Automated axis alignment for a nano manipulator inside SEM and its error optimization,” Scanning, Article ID 3982503, 2017.

é  Sabir Djaidja, Qinghe Wu, Long Cheng, “Stochastic consensus of single-integrator multi-agent systems under relative-state dependent measurement noises and time-delays,” International Journal of Robust and Nonlinear Control, vol. 27, no. 5, pp. 860–872, 2017.

é  Long Cheng, Yunpeng Wang, Wei Ren, Zeng-Guang Hou, Min Tan, “On convergence rate of leader-following consensus of linear multi-agent systems with communication noises,” IEEE Transactions on Automatic Control, vol. 61, no. 11, pp. 3586–3592, 2016.

é  Long Cheng, Yunpeng Wang, Wei Ren, Zeng-Guang Hou, Min Tan, “Containment control of multi-agent systems with dynamic leaders based on a PIⁿ-type approach,” IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 3004–3017, 2016.

é  Feng Zhang, Zeng-Guang Hou, Long Cheng, Weiqun Wang, Yixiong Chen, Jin Hu, Min Tan, Hongbo Wang, “iLeg – a lower limb rehabilitation robot: design, control, and experiments,” IEEE Transactions on Human- Machine Systems, vol. 46, no. 5, p. 761–768, 2016.

é  Weiqun Wang, Zeng-Guang Hou, Long Cheng, Lina Tong, Feng Zhang, Yixong Chen, Liang Peng, Long Peng, Min Tan, “Towards patients’ motion intention recognition: dynamics identification of a lower limb rehabilitation robot – an LLRR under motion constraints,” IEEE Transactions on Systems, Man and Cyber- netics: Systems, vol. 46, no. 7, pp. 980–992, 2016.

é  Weichuan Liu, Long Cheng, Zeng-Guang Hou, Junzhi Yu, Min Tan, “An inversion-free predictive controller for piezoelectric actuators based on a dynamic linearized neural network model,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 1, pp. 214–226, 2016.

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Junzhi Yu, Min Tan, “Optimal formation of multi-robot systems based on a recurrent neural network, ” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 322–333, 2016.

é  Long Cheng, Hanlei Wang, Zeng-Guang Hou, Min Tan, “Reaching a consensus in networks of high-order integral agents under switching directed topologies,” International Journal of Systems Science, vol. 47, no. 8, pp. 1966–1982, 2016.

é  Yunpeng Wang, Long Cheng, Chenguang Yang, Zeng-Guang Hou, Min Tan, “Reaching a stochastic con- sensus in noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate,” Science China Technological Sciences, vol. 59, no. 1, pp. 45–54, 2016.

é  Long Cheng, Weichuan Liu, Zeng-Guang Hou, Junzhi Yu, Min Tan, “Neural network based nonlinear model predictive control for piezoelectric actuators,” IEEE Transactions on Industrial Electronics, vol. 62, no. 12, pp. 7717–7727, 2015.

é  Yifan Liu, Jin Li, Xiaohua Hu, Zhiming Zhang, Long Cheng, Yingzi Lin, Wenjun Zhang, “Modeling and control of piezoelectric inertia-friction actuators: review and future research directions,” Mechanical Sci- ences, vol. 6, pp. 95–107, 2015.

é  Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, “Containment control of continuous-time linear multi-agent systems with aperiodic sampling,” Automatica, vol. 57, no. 7, pp. 78–84, 2015.

é  Zhiqiang Cao, Long Cheng, Chao Zhou, Nong Gu, Xu Wang, Min Tan, “Spiking neural network-based target tracking control for autonomous mobile robots,” Neural Computing and Applications, vol. 26, no. 8, pp. 1839–1847, 2015.

é  Yunpeng Wang^∗, Long Cheng∗, Wei Ren, Zeng-Guang Hou, Min Tan, “Seeking consensus in networks of linear agents: communication noises and Markovian switching topologies,” IEEE Transactions on Automat- ic Control, vol. 60, no. 5, pp. 1374–1379, 2015. (Yunpeng Wang and Long Cheng make equal contributions to this work and share the first authorship.)

é  Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, Yunpeng Wang, “Distributed exponential finite-time coordination of multi-agent systems: containment control and consensus,” International Journal of Control, vol. 88, no. 2, pp. 237–247, 2015.

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Min Tan, Chao Zhou, Ming Wang, “Consensus seeking in a network of discrete-time linear agents with communication noises,” International Journal of Systems Science, vol. 46, no. 10, pp. 1874–1888, 2015.

é  Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, “Containment control of general linear multi-agent systems with multiple dynamic leaders: a fast sliding-mode based approach,” IEEE/CAA Journal of Acta Automatica Sinica, vol. 1, no. 2, pp. 134-140, 2014.

é  Yunpeng Wang^∗, Long Cheng∗, Zeng-Guang Hou, Min Tan, Ming Wang, “Containment control of multi- agent systems in a noisy communication environment,” Automatica, vol. 50, no. 7, pp. 1922–1928, 2014. (Yunpeng Wang and Long Cheng make equal contributions to this work and share the first authorship.)

é  Long Cheng, Zeng-Guang Hou, Min Tan, “A mean square consensus protocol for linear multi-agent systems with communication noises and fixed topologies,” IEEE Transactions on Automatic Control, vol. 59, no. 1, pp. 261–267, 2014.

é  Long Cheng, Yunpeng Wang, Zeng-Guang Hou, Min Tan, Zhiqiang Cao, “Sampled-data based average consensus of second-order integral multi-agent systems: switching topologies and communication noises,” Automatica, vol. 49, no. 5, pp. 1458–1464, 2013.

é  Yu Cao, Long Cheng, Jingyang Peng, Xiongbiao Chen, “An inversion-based model predictive control with an integral-of-error state variable for piezoelectric actuators,” IEEE/ASME Transactions on Mechatronics, vol. 18, no. 3, pp. 895–904, 2013.

é  Zhiqiang Cao, Chao Zhou, Long Cheng, Yuequan Yang, Wenwen Zhang, Min Tan, “A distributed hunting approach for multiple autonomous robots,” International Journal of Advanced Robotic Systems, vol. 10, Article Number: 217, DOI: 10.5772/53410, 2013.

é  Long Cheng, Zeng-Guang Hou, Min Tan, Wenjun Zhang, “Tracking control of a closed-chain five-bar robot with two degrees of freedom by integration of approximation-based approach and mechanical design,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 42, no. 5, pp. 1470–1479, 2012.

é  Liuji Shang, Shuo Wang, Min Tan, Long Cheng, “Swimming locomotion modeling for bio-mimetic under- water vehicle with two undulating long-fins,” Robotica, vol. 30, no. 6, pp. 913–923, 2012.

é  Long Cheng, Yingzi Lin, Zeng-Guang Hou, Min Tan, Jian Huang, Wenjun Zhang, “Integrated design of machine body and control algorithm for improving the robustness of a closed-chain five-bar machine,” IEEE/ASME Transactions on Mechatronics, vol. 17, no. 3, pp. 587–591, 2012.

é  Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Zhang, “Solving a modified consensus prob- lem of linear multi-agent systems,” Automatica, vol. 47, no. 10, pp. 2218–2223, 2011.

é  Long Cheng, Yingzi Lin, Zeng-Guang Hou, Min Tan, Jian Huang, Wenjun Zhang, “Adaptive tracking control of hybrid machines: a closed-chain five-bar mechanism case,” IEEE/ASME Transactions on Mechatronics, vol. 16, no. 6, pp. 1155–1163, 2011.

é  Shery Modi, Yingzi Lin, Long Cheng, Guosheng Yang, Lizhi Liu, Wenjun Zhang, “A socially inspired frame- work for human state inference using expert opinion integration,” IEEE/ASME Transactions on Mecha- tronics, vol. 16, no. 5, pp. 874–878, 2011.

é  Xiaoliang Xie, Zeng-Guang Hou, Long Cheng, Cheng Ji, Min Tan, Hongnian Yu, “Adaptive neural network tracking control of robot manipulators with prescribed performance,” Proceedings of the Institution of Mechanical Engineers, Part I, Journal of Systems and Control Engineering, vol. 225, no. 6, pp. 790–797, 2011.

é  Zhihong Sun, Bing Zhang, Long Cheng, Wenjun Zhang, “Application of the redundant servomotor approach to design of path generator with dynamic performance improvement,’ Mechanism and Machine Theory, vol. 46, no. 11, pp. 1784–1795, 2011.

é  Long Cheng, Zeng-Guang Hou, Min Tan, Xu Wang, “Necessary and sufficient conditions for consensus of double-integrator multi-agent systems with measurement noises,” IEEE Transactions on Automatic Con- trol, vol. 56, no. 8, pp. 1958–1963, 2011.

é  Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Zhang, Fang-Xiang Wu, “Recurrent neural network for non-smooth convex optimization problems with application to the identification of genetic reg- ulatory networks,” IEEE Transactions on Neural Networks, vol. 21, no. 5, pp. 714–726, 2011. (IEEE Transactions on Neural Networks Outstanding Paper Award)

é  Xu Wang^∗, Long Cheng∗, Zhiqiang Cao, Min Tan, Zeng-Guang Hou, “Output-feedback consensus control of linear multi-agent systems: a fixed topology”, International Journal of Innovative Computing, Information and Control, vol. 7, no. 5(A), pp. 2063–2074, 2011. (X. Wang and Long Cheng make equal contributions to this work and share the first authorship.)

é  Li Yang, Zhiqiang Cao, Chao Zhou, Long Cheng, Min Tan, “Formation control and switching for multiple robots in uncertain environments”, International Journal of Robotics and Automation, vol. 25, no. 3, pp. 240–249, 2010.

é  Long Cheng, Zeng-Guang Hou, Min Tan, Yingzi Lin, Wenjun Zhang, “Neural-network-based adaptive leader-following control for multi-agent systems with uncertainties”, IEEE Transactions on Neural Net- works, vol. 21, no. 8, pp. 1351–1358, 2010.

é  Zeng-Guang Hou, Long Cheng, Min Tan, “Multi-criteria optimization for coordination of redundant robots using a dual neural network”, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 40, no. 4, pp. 1075–1087, 2010.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model”, Automatica, vol. 45, no. 10, pp. 2312–2318, 2009.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “A delayed projection neural network for solving linear variational inequalities”, IEEE Transactions on Neural Networks, vol. 20, no. 6, pp. 915–925, 2009.

é  Zeng-Guang Hou, Anmin Zou, Long Cheng, Min Tan, “Adaptive control of an electrically driven non- holonomic mobile robot via backstepping and fuzzy approach”, IEEE Transactions on Control Systems Technology, vol. 17, no. 4, pp. 803–815, 2009.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “A simplified neural network for linear matrix inequality problem- s”, Neural Processing Letters, vol. 29, no. 3, pp. 213–230, 2009.

é  Zeng-Guang Hou, Long Cheng, Min Tan, “Decentralized robust adaptive control for the multiagent system consensus problem using neural networks”, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 39, no. 3, pp. 636–647, 2009.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “Solving linear variational inequalities by projection neural net- work with time-varying delays”, Physics Letters A, vol. 373, no. 20, pp. 1739–1743, 2009.

é  Hongming Wang, Zeng-Guang Hou, Long Cheng, Min Tan, “Online mapping with a mobile robot in dy- namic and unknown environments”, International Journal of Modelling, Identification and Control, vol. 4, no. 4, pp. 415–423, 2008.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “A neutral-type delayed projection neural network for solving nonlinear variational inequalities”, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 55, no. 8, pp. 806–810, 2008.

é  Xiuqing Wang, Zeng-Guang Hou, Anmin Zou, Min Tan, Long Cheng, “A behavior controller for mobile robot based on spiking neural networks”, Neurocomputing, vol. 71, nos. 4-6, pp. 655–666, 2008.

é  Zeng-Guang Hou, Madan M. Gupta, Peter N. Nikiforuk, Min Tan, Long Cheng, “A recurrent neural network for hierarchical control of interconnected dynamic systems”, IEEE Transactions on Neural Networks, vol. 18, no. 2, pp. 466–481, 2007.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “Constrained multi-variable generalized predictive control using a dual neural network”, Neural Computing and Applications, vol. 16, no. 6, pp. 505–512, 2007.

é  Xiuqing Wang, Zeng-Guang Hou, Long Cheng, Min Tan, Fei Zhu, “Corridor-scene classifying methods for mobile robot based on multi-sonar sensor information fusion”, International Journal of Information Acquisition, vol. 4, no. 1, pp. 15–26, 2007.

会议论文:

é Yu Zhang, Yongxiang Zou, Haoyu Zhang, Xiuze Xia, Long Cheng, “Learning a stable dynamic system with a Lyapunov energy function for demonstratives using neural networks,” in Proceedings of 2024 IEEE International Conference on Robotics and Automation, Yokohama Japan, May 13-17, 2024.

é Ran Cao, Long Cheng, “Encoding variable stiffness skills with interaction force and motion information for robot-environment interaction,” in Proceedings of the 12th International Conference on Intelligent Control and Information Processing, Nanjing China, March 8–10, 2024, pp. 17–25.

é Lijun Han, Long Cheng, Hongcheng Li, Yongxiang Zou, “Boosting personalized musculoskeletal modeling with deep transfer learning: A case study,” in Proceedings of the 18th International Symposium on Neural Networks, Weihai China, July 11–14, 2024.

é Yu Zhang, Long Cheng, Haoyu Zhang, Yongxiang Zou, Yan Yan, “A novel dynamic movement primitives for learning from demonstrations,” in Proceedings of the 13th International Conference on Information Science and Technology, Cairo Egypt, December 8–14, 2023, pp. 88–93.

é Yu Ding, Yirui Cong, Xiangke Wang*, Long Cheng,"Cooperative Filtering with Range Measurements: A Distributed Constrained Zonotopic Method" in 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control, Nanjing China, November 24-27, 2023.(Best Paper Award).

é  Xiuze Xia, Lijun Han, Houcheng Li, Yu Zhang, Zeyu Liu, Long Cheng, “A compliant elbow exoskeleton with an SEA at interaction port,” in Proceedings of the 2023 International Conference on Neural Informa- tion Processing, Changsha China, November 20–23, 2023.(Best Paper Award).

é  Yu Zhang, Lijun Han, Houcheng Li, Long Cheng, “Learning stable nonlinear dynamical system from one demonstration,” in Proceedings of the 2023 International Conference on Neural Information Processing, Changsha China, November 20–23, 2023.

é  Zeyu Liu, Zhengwei Li, Long Cheng, “A two-dimensional reticular core optical waveguide sensor for tactile and positioning sensing,” in Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, Detroit USA, October 1-5, 2023.

é  Ran Cao, Long Cheng, Wenchao Xue, “Iterative assist-as-needed control with skill learning for physical human-robot interaction,” in Proceedings of the 22nd World Congress of the International Federation of Automatic Control, Yokohama Japan, July 9-14, 2023.

é  Yifan Wang, Long Cheng, “An automatic hand rehabilitation assessment system: Implementation and ex- periments,” in Proceedings of the 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, Baishan China, July 27-31, 2022, pp. 213–218.

é  Chenguang Li, Hongjun Yang, Long Cheng, Fubiao Huang, “A time-series augmentation method based on empirical mode decomposition and integrated LSTM neural network,” in Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow UK, July 11-15, 2022, pp. 333–336.

é  Yifa Liu, Long Cheng, “Evolution of opinions with estimation and interference,” in Proceedings of the 41st Chinese Control Conference, Hefei China, July 25-27, 2022, pp. 6944–6950. (SCIS-CCC Poster Paper Award)

é  Lin Tian, Wenchao Xue, Long Cheng, “Hand position tracking based on optimized consistent extended Kalman filter,” in Proceedings of the 34th Chinese Control and Decision Conference, Hefei China, May 21-23, 2022, pp. 5761–5766.

é  Guotao Li, Long Cheng, Zhengrun Gao, Jilong Lu, Yanjiang Zhao,“Design of a novel flexible assistive hand exoskeleton,” in Proceedings of the 37th Youth Academic Annual Conference of Chinese Association of Automation, Beijing China, Nov. 19 – 20, 2022.

é  Chenguang Li, Hongjun Yang, Shiying Sun, Long Cheng, “Quantitative taxonomy of hand kinematics based on long short-term memory neural network,” in Proceeding of the 28th International Conference on Neural Information Processing, Bali, Indonesia, December 8–12, 2021, Springer Communications in Computer and Information Science, vol. 1517, pp. 221–229.

é  Yu Zhang, Long Cheng, “Online adaptive and attention-based reference path generation for upper-limb rehabilitation robot,” in Proceeding of the 2021 China Automation Congress, Beijing, China, December 25–26, 2021, pp. 5268–5273 (Best Application Paper Award).

é  Lijun Han, Yongxiang Zou, Long Cheng, “A convolutional neural network with multi-scale kernel and fea- ture fusion for sEMG-based gesture recognition,” in Proceeding of the 2021 IEEE International Conference on Robotics and Biomimetics, Sanya, China, December 6-10, 2021, pp. 774–779.

é  Yifa Liu, Long Cheng, “Optimal defense resource allocation and geographically feasible hexagonal topology construction for power grid security,” in Proceedings of 2021 International Conference on Life System Modeling and Simulation and 2021 International Conference on Intelligent Computing for Sustainable Energy and Environment, Huangzhou, China, October 22–24, 2021, Springer Communications in Computer and Information Science, vol. 1468, pp. 452–462 (Best Student Paper Award).

é  Long Cheng, Siyuan Liu, Deyuan Meng, “Passive hand rehabilitation training through robots: an itera- tive learning control approach,” in Proceeding of The 2021 IEEE International Conference on Advanced Robots & Mechatronics, Chongqing China, July 3–5, 2021, pp. 651–656.

é  Houcheng Li, Long Cheng, Zhengwei Li, Guotao Li, “UCAS-Hand: an underactuated powered hand ex- oskeleton for assisting grasping task,” in Proceeding of The 2021 IEEE International Conference on Real- time Computing and Robotics, Xining China, July 15–19, 2021 (Best Paper Award).

é  Xiuze Xia, Long Cheng, “Adaptive Takagi-Sugeno fuzzy model for pneumatic artificial muscles,” in Pro- ceeding of The 13th International Conference on Advanced Computational Intelligence, Wanzhou China, May 14–16, 2021, pp. 305–311.

é  Jiaqi Lv, Yu Wang, Shuo Wang, Rui Wang, Long Cheng, Min Tan, “Disturbance observer based control for an underwater biomimetic vehicle-manipulator system with mismatched disturbances,” in Proceeding of The 2021 IEEE 10th Data Driven Control and Learning Systems Conference, Suzhou China, May 14–16, 2021,pp. 230–235.

é  Ran Cao, Long Cheng, Zhe Dong, “Group consensus for Euler-Lagrange multi-agent systems with dynam- ic event-triggered control,” in Proceeding of The 16th IEEE International Conference on Control and Automation, Sapporo, Japan (Online), October 9–10 2020, pp. 624–629.

é  Yifa Liu, Long Cheng, “Energy based optimal dynamic stealth false data injection attacks on the smart grid,” in Proceeding of IEEE 2020 International Conference on Information, Cybernetics, and Computational Social Systems, Guangzhou, China, November 13–15, 2020, pp. 90–95 (Zadeh Best Paper Award).

é  Yu Wang, Xuejian Bai, Long Cheng, Shuo Wang, Min Tan, “Data-driven hydrodynamic modeling for a flippers-driven underwater vehicle-manipulator system,” in Proceeding of IEEE 9th Data Driven Control and Learning Systems Conference, Liuzhou, China, November 20–22, 2020, pp. 342–349 (Best Paper Award).

é  Houcheng Li, Long Cheng, Zhengwei Li, “Design and control of an index finger exoskeleton with cable- driven translational joints,” in Proceeding of 2020 IEEE International Conference on Advanced Robotics & Mechatronics, Shenzhen, China, December 18–21, 2020, pp. 540–545 (Best Paper Award Finalist).

é  Zunran Wang, Chenguang Yang, Long Cheng, “A fast compression algorithm based on the variable block for 3D point cloud data,” in Proceeding of 2020 IEEE International Conference on Advanced Robotics & Mechatronics, Shenzhen, China, December 18–21, 2020, pp. 1–6.

é  Ning Sun, Long Cheng, Lin Tian, Zeng-Guang Hou, Min Tan, “Design and validation of an asymmet- ric bowden-cable-driven series elastic actuator,” in Proceeding of the IEEE International Conference on Robotics and Biomimetics, Dali, China, December 6–8, 2019, pp. 851–856.

é  Jun Ma, Rong Mo, Miao Chen, Long Cheng, Hongsheng Qi, “Mirror-training of a cable-driven hand re- habilitation robot based on surface electromyography (sEMG),” in Proceedings of The 10th International Conference on Intelligent Control and Information Processing, Marrakesh, Morocco, December 14–19, 2019, pp. 309–315.

é  Xinbo Yu, Wei He, Chengqian Xue, Bin Li, Long Cheng, Chenguang Yang, “Adaptive neural admittance control for collision avoidance in human-robot collaborative tasks,” in Proceedings of IEEE/RSJ Interna- tional Conference on Intelligent Robots and Systems, Macau, China, November 4–8, 2019, pp. 7568–7573.

é  Yuxin Wu, Deyuan Meng, Jingyao Zhang, Long Cheng, “Analysis of opinion dynamics in social networks subject to time-varying topologies,” in Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, Dali, China, May 24–27, 2019, pp. 147–152.

é  Shijie Qin, Long Cheng, “A composite controller for piezoelectric actuators based on action dependent dual heuristic programming and model predictive control,” in Proceedings of The 12th International Conference on Intelligent Robotics and Applications, Shenyang, China, August 8–11, 2019, Springer Lecture Notes in Computer Science, vol. 11741, pp. 245–256.

é  Tianlu Zhang, Zhangming Du, Chao Zhou, Zhiqiang Cao, Shuo Wang, Long Cheng, Lu Deng, “Piezoelectric single crystal-based nano-scale actuator and its amplifying mechanism,” in Proceedings of 2019 IEEE In- ternational Conference on Mechatronics and Automation, Tianjin, China, August 4–7, 2019. pp. 679–684.

é  Junbao Gan, Chenguang Yang, Long Cheng, Ying Feng, “Dual arm cooperation based on visual servo con- trol,” in Proceedings of the 9th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, Suzhou, China, July 29–August 2, 2019, pp. 289–294.

é  Siyuan Liu, Deyuan Meng, Long Cheng, Fubiao Huang, “A virtual reality based training and assessment system for hand rehabilitation,” in Proceedings of the 9th International Conference on Intelligent Control and Information Processing, Wanzhou, China, November 9–11, 2018, pp. 33–38.

é  Weizhou Liu, Long Cheng, Deyuan Meng, “Brain slices microscopic detection using simplified SSD with Cycle-GAN data augmentation,” in Proceedings of the 25th International Conference on Neural Infor- mation Processing, Siem Reap, Cambodia, December 13–16, 2018, Springer Lecture Notes in Computer Science, vol. 11304, pp. 454–463.

é  Zhuoliang Zhang, Zhangming Du, Lu Deng, Chao Zhou, Zhiqiang Cao, Shuo Wang, Long Cheng, “A fusion measurement method based on Kalman filter with improved state block and neural network for nanometer displacement,” in Proceedings of 2018 IEEE International Conference on Mechatronics and Automation, Changchun, China, August 5–8, 2018, pp. 539–544.

é  Yifa Liu, Long Cheng, “Sampled-data based mean square bipartite consensus of double-integrator multi- agent systems with measurement noises,” in Proceedings of 2018 Chinese Intelligent Systems Conference, Wenzhou, China, October 13–14, 2018, Springer Lecture Notes in Electrical Engineering, vol. 528, pp. 339–349.

é  Yang Liu, Long Cheng, “Spiking-neural-network based Fugl-Meyer hand gesture recognition for wearable hand rehabilitation robot,” in Proceedings of 2018 International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, July 8–13, 2018. (IEEE CIS Outstanding Student Travel Grant)

é  Qingshan Liu, Wei Zhang, Jiang Xiong, Bingrong Xu, Long Cheng, “A projection-based algorithm for constrained L₁-minimization optimization with application to sparse signal reconstruction,” in Proceedings of the 8th International Conference on Information Science and Technology, Granada, Spain, June 30 – July 6, 2018, pp. 437-443.

é  Tianwei Zhou, Zhiqiang Zuo, Yijing Wang, Long Cheng, “Multiple performance analysis for nonlinear net- worked control systems with limited channels,” in Proceedings of the 14th IEEE International Conference on Control and Automation, Anchorage, USA, June 12-15, 2018, 464-469.

é  Long Cheng, Ang Wang, “A neural network based modelling approach for a piezoelectric-actuated stick-slip positioning device,” in Proceedings of 2017 International Conference on Advanced Mechatronic Systems, Xiamen, China, Dec. 6–9, 2017, pp. 489–494.

é  Hanlei Wang, Long Cheng, Yongchun Xie, “Task-space adaptive dynamic modularity control of free-floating space manipulators,” in Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, December 12–15, 2017, pp. 1460–1465.

é  Siyuan Liu, Deyuan Meng, Long Cheng, Miao Chen, “An iterative learning controller for a cable-driven hand rehabilitation robot,” in Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29 – November 1, 2017, pp. 5701–5706. (Session Chair)

é  Wenkai Chang, Guodong Yang, Junzhi Yu, Zize Liang, Long Cheng, Chao Zhou, “Development of a pow- er line inspection robot with hybrid operation modes,” in Proceedings of 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, September 24–28, 2017, pp. 973–978.

é  Shunzhan He, Chenguang Yang, Min Wang, Long Cheng, Zedong Hu, “Hand gesture recognition using MYO armhand,” in Proceedings of 2017 Chinese Automation Congress, Jinan, China, October 20–22, 2017,pp. 4850–4855.

é  Ang Wang, Long Cheng, “A composite controller for piezoelectric actuators with model predictive control and hysteresis compensation,” in Proceedings of 2017 International Conference on Life System Modeling and Simulation and 2017 International Conference on Intelligent Computing for Sustainable Energy and Environment, Nanjing, China, September 22–24, 2017, Springer Communications in Computer and Infor- mation Science, vol. 763, pp. 740–750. (Best Paper Award)

é  Houcheng Li, Long Cheng, “Preliminary study on the design and control of a pneumatically-actuated hand rehabilitation device,” in Proceedings of the 32nd Youth Academic Annual Conference of Chinese Associ- ation of Automation, Hefei, China, May 19 – 21, 2017, pp. 860–865.

é  Miao Chen, Long Cheng, Fubiao Huang, Zeng-Guang Hou, “Towards robot-assisted post-stroke hand reha- bilitation: Fugl-Meyer gesture recognition using sEMG,” in Proceedings of the 7th Annual IEEE Interna- tional Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Hawaii, USA, July 31 – August 4, 2017, pp. 1472–1477.

é  Yuhan Nan, Jing Wang, Jinglin Zhou, Long Cheng, “Operation condition design based on the qualitative and quantitative analysis for glycosylation reactions,” in Proceedings of the 36th Chinese Control Conference, Dalian, China, July 26 – 28, 2017, pp. 10074–10079.

é  Yunpeng Wang, Yongchun Xie, Long Cheng, “Leader-following consensus of multi-agent systems with dynamic leader and measurement noises,” in Proceedings of the 36th Chinese Control Conference, Dalian, China, July 26 – 28, 2017, pp. 8379–8384.

é  Hang Zhang, Wenjian Bi, Yanlong Zhao, Long Cheng, “Set-valued system identification methods in ret- rospective cohort study and applications to GWAS,” in Proceedings of the 20th IFAC World Congress, Toulouse, France, July 9–14, 2017, pp. 1619–1624.

é  Guanghui Wen, Peijun Wang, Tingwen Huang, Long Cheng, Junyong Sun, “Neuro-adaptive containment seeking of multiple networking agents with unknown dynamics,” in Proceedings of the 14th International Symposium on Neural Networks, Sapporo, Japan, June 21–23, 2017, Springer Lecture Notes in Computer Science, vol. 10262, pp. 178–186.

é  Xiaoran Cheng, Qingkun Song, Xiaoliang Xie, Long Cheng, Li Wang, Guibin Bian, Zeng-Guang Hou, Tingwen Huang, Pusit Prasong, “A fast and stable guidewire model for minimally invasive vascular surgery based on Lagrange multipliers,” in Proceedings of the 7th International Conference on Information Science and Technology, Da Nang, Vietnam, April 16–19, 2017, pp. 109–114.

é  Liang Peng, Zeng-Guang Hou, Lincong Luo, Long Peng, Weiqun Wang, Long Cheng, “An sEMG-driven neuromuskeloskeletal model of upper limb for rehabilitation robot control,” in Proceedings of 2016 IEEE Conference on Robotics and Biomimetics, Qingdao, China, December 3–7, 2016, pp. 1486–1491.

é  Xiang Dong, Henghui Sun, Zengfu Wang, Long Cheng, “Design and dynamic analysis for Amoeba-like robot’s turning-mechanism applied with spring and damp system,” Proceedings of 2016 IEEE Interactional Conference on Advanced Robotics and Mechatronics, Macau, China, August 18–20, 2016, pp. 318–323.

é  Dongxu Zhang, Zeng-Guang Hou, Long Cheng, Guibin Bian, Xiaoliang Xie, Liang Peng, “ϵ-SVR-based estimation for the motion trajectory of human lower limb using acceleration signals,” Proceedings of 2016 IEEE Interactional Conference on Information and Automation, Ningbo, China, July 31–August 4, 2016,pp. 1278–1283.

é  Guangzhu Peng, Chenguang Yang, Yiming Jiang, Long Cheng, Peidong Liang, “Teleoperation control of Baxter robot based on human motion capture,” Proceedings of 2016 IEEE Interactional Conference on Information and Automation, Ningbo, China, July 31–August 4, 2016, pp. 1026–1031.

é  Long Cheng, Yunpeng Wang, Zeng-Guang Hou, Min Tan, “Convergence rate of leader-following consensus of networks of discrete-time linear agents in noisy environments,” Proceedings of the 35th Chinese Control Conference, Chengdu, China, July 27–29, 2016, pp. 8102–8107.

é  Weichuan Liu, Long Cheng, Chao Zhou, Zeng-Guang Hou, Min Tan, “Neural-network based model predic- tive control for piezoelectric-actuated stick-slip micro-positioning devices,” Proceedings of 2016 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Banff, Canada, July 12–15, 2016, pp. 1312–1317.

é  Chenguang Yang, Junshen Chen, Long Cheng, “Neural learning enhanced teleoperation control of robots with uncertainties,” Proceedings of The 9th International Conference Human System Interaction, Portsmouth, UK, July 6–8, 2016, pp. 223–228. (Best Paper Award)

é  Weichuan Liu, Long Cheng, Zeng-Guang Hou, Min Tan, “An active disturbance rejection controller with hysteresis compensation for piezoelectric actuators,” Proceedings of the 12th World Congress on Intelligent Control and Automation, Guilin, China, June 12–15, 2016, pp. 2148–2153. (T.J. Tarn Best Theory Paper Award Committee Member)

é  Long Cheng, Ming Cheng, Hongnian Yu, Lu Deng, Zeng-Guang Hou, “Distributed tracking control of uncertain multiple manipulators under switching topologies using neural networks,” Proceedings of the 13th International Symposium on Neural Networks, Saint Petersburg, Russia, July 6–8 , 2016, Springer Lecture Notes in Computer Science, vol. 9719, pp. 233–241.

é  Xuebo Zhang, Ruijie Xue, Yimin Yang, Long Cheng, Yongchun Fang, “Learning time-optimal anti-swing trajectories for overhead crane systems,” Proceedings of the 13th International Symposium on Neural Net- works, Saint Petersburg, Russia, July 6–8 , 2016, Springer Lecture Notes in Computer Science, vol. 9719,pp. 338–345.

é  Qingshan Liu, Yan Zhao, Long Cheng, “Continuous-time multi-agent network for distributed least absolute deviation,” Proceedings of the 12th International Symposium on Neural Networks, Jeju, Korea, October 15–18, 2015, Springer Lecture Notes in Computer Science, vol. 9377, pp. 436–443.

é  Xinyu Wang, Chenguang Yang, Hongbin Ma, Long Cheng, “Shared control for teleoperation enhanced by autonomous obstacle avoidance of robot manipulator,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Hamburg Germany, September 28–October 3, 2015, pp. 4575–4580 (Session Co-Chair).

é  Yunpeng Wang, Long Cheng, Hongming Wang, Zeng-Guang Hou, Min Tan, Hongnian Yu, “Leader-following consensus of discrete-time linear multi-agent systems with communication noises,” Proceedings of the 34th Chinese Control Conference, Hangzhou China, July 28–30 2015, pp. 7010–7015.

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Min Tan, Hongnian Yu, “Coordinated transportation of a group of unmanned ground vehicles,” Proceedings of the 34th Chinese Control Conference, Hangzhou China, July 28–30 2015, pp. 7027–7032.

é  Weichuan Liu, Long Cheng, Zeng-Guang Hou, Min Tan, “An inversion-free model predictive control with error compensation for piezoelectric actuators,” Proceedings of the 2015 American Control Conference, Chicago IL, USA, July 1-3, 2015, pp. 5489–5494.

é  Weichuan Liu, Long Cheng, Hongming Wang, Zeng-Guang Hou, Min Tan, “An inversion-free fuzzy predic- tive control for piezoelectric actuators,” Proceedings of the 27th Chinese Control and Decision Conference, Qingdao China, May 23-25, 2015, pp. 959–964.

é  Zhangfeng Ju, Chenguang Yang, Zhijun Li, Long Cheng, Hongbin Ma, “Teleoperation of humanoid Baxter robot using haptic feedback,” Proceedings of 2014 IEEE International Conference on Multisensor Fusion and Information Integration, Beijing, China, September 28–29, 2014 (DOI: 10.1109/MFI.2014.6997721).

é  Hanlei Wang and Long Cheng, “Second-order consensus of networked mechanical systems with commu- nication delays,” Proceedings of the 11th World Congress on Intelligent Control and Automation, June 29–July 4, 2014, Shenyang, China, pp. 2126–2131.

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Min Tan, Ming Wang, “Leader-following output consensus in a network of linear agents with communication noises,” Proceedings of 2014 IFAC World Congress, August 24-29, 2014, Cape Town, South Africa, pp. 1825–1830. (Chinese Academy of Sciences K.C. Wong Education Foundation: International Conference Grant)

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Min Tan, Guibin Bian “Polynomial trajectory tracking of networked Euler-Lagrange systems,” Proceedings of the 33rd Chinese Control Conference, Nanjing, China, July 28-30, 2014, pp. 1568–1573. (Finalist paper of IEEE CSS Beijing Chapter Young Author Prize)

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Min Tan, Guibin Bian, “Dynamic behavior analysis on SISO multi-agent systems in a noisy environment,” Proceedings of the 33rd Chinese Control Conference, Nanjing, China, July 28-30, 2014, pp. 1377–1382.

é  Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, “Containment control of double-integrator multi- agent systems with aperiodic sampling: a small-gain theorem based method,” Proceedings of the 33rd Chi- nese Control Conference, Nanjing, China, July 28-30, 2014, pp. 1407–1412.

é  Long Cheng, Yunpeng Wang, Zeng-Guang Hou, Min Tan, “Stochastic consensus of linear multi-agent sys- tems: Communication noises and Markovian switching topologies,” Proceedings of the 26th Chinese Con- trol and Decision Conference, May 31 - June 2, 2014, Changsha, China, pp. 274–279.

é  Yixiong Chen, Jin Hu, Nikola Kasabov, Zeng-Guang Hou, Long Cheng, “NeuroCubeRehab: A pilot study for EEG classification in rehabilitation practice based on spiking neural networks,” Proceedings of the 20th International Conference on Neural Information Processing, November 3-7, 2013, Daegu, Korea, Springer Lecture Notes in Computer Science, vol. 8228, pp. 70–77.

é  Guibin Bian, Xiaoliang Xie, Zhenqiu Feng, Zeng-Guang Hou, Peng Wei, Long Cheng, Min Tan, “An en- hanced dual-finger robotic hand for catheter manipulating in vascular intervention: A preliminary study,” Proceedings of 2013 IEEE International Conference on Automation and Logistics in conjunction with IEEE Interactional Conference on Information and Automation, August 26-28, 2013, Yinchuan, China,pp. 356–361. (Best Paper Award in Automation)

é  Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, Zhiqiang Cao, Ming Wang, “Containment control with multiple interacting leaders under switching topologies,” Proceedings of the 32nd Chinese Control Conference, July 26-28, 2013, Xi’an China, pp. 7093–7098.

é  Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, Yunpeng Wang, “Consensus tracking of general linear multi-agent systems: fast sliding-mode algorithms,” Proceedings of the 32nd Chinese Control Con- ference, July 26-28, 2013, Xi’an China, pp. 7302–7307.

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Min Tan, Huiyang Liu, Ming Wang, “Necessary and suffi- cient conditions for solving the leader-following problem of multi-agent systems with communication nois- es,” Proceedings of the 25th Chinese Control and Decision Conference, May 25-27, 2013, Guiyang China,pp. 778–783.

é  Yunpeng Wang, Long Cheng, Zeng-Guang Hou, Min Tan, “On consensus of linear multi-agent systems with switching topologies: A dynamic output feedback approach,” Proceedings of the 31th Chinese Control Conference, July 25-27, 2012, Hefei China, pp. 6190–6195.

é  Ting Wu, Siyao Fu, Long Cheng, Rui Zheng, Xiuqing Wang, Xinkai Kuai, Guosheng Yang, “A simple probabilistic spiking neuron model with Hebbian learning rules,” Proceedings of 2012 International Joint Conference on Neural Networks, Brisbane Australia, June 10-15, 2012, pp. 548–553.

é  Long Cheng, Yunpeng Wang, Zeng-Guang Hou, Min Tan, Zhiqiang Cao, “A sampled-data based average consensus protocol for double-integrator multi-agent systems with switching topologies and communication noises,” Proceedings of the 10th World Congress on Intelligent Control and Automation, July 6-8, 2012, Beijing China, pp. 886–891.

é  Xu Wang, Zhiqiang Cao, Long Cheng, Chao Zhou, Min Tan, Zeng-Guang Hou, “Image information extrac- tion based on spiking neural networks,” Proceedings of the 18th IFAC World Congress, Milan, Italy, August 28 – September 2, 2011, pp. 13618–13623.

é  Jian Huang, Puren Ouyang, Long Cheng, Wenjun Zhang, “Application of the design for control approach to hybrid actuation mechanical systems,” Proceedings of 2010 ASME International Mechanical Engineering Congress & Exposition, Vancouver, Canada, November 12-18, 2010, IMECE2010-39934.

é  Xiaoliang Xie, Long Cheng, Zeng-Guang Hou, Cheng Ji, “Adaptive neural network control of a 5 DOF robot manipulator,” Proceedings of 2010 International Conference on Intelligent Control and Information Processing, Dalian, China, August 12-15, 2010, pp. 376–381.

é  Xu Wang, Zhiqiang Cao, Zeng-Guang Hou, Long Cheng, Min Tan, “Correlation detection with firing rate estimation based on temporal coincidence coding,” Proceedings of 2010 International Joint Conference on Neural Networks , Barcelona, Spain, July 18-23, 2010, pp. 1431–1436.

é  Long Cheng, Zeng-Guang Hou, Noriyasu Homma, Min Tan, Madan M. Gupta, “Solving convex optimiza- tion problems using recurrent neural networks in finite time,” Proceedings of 2009 International Joint Conference on Neural Networks , Atlanta, USA, June 14-19, 2009, pp. 538–543.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “Decentralized adaptive leader-follower control of multi-manipulator system with uncertain dynamics”, Proceedings of the 34th Annual Conference of the IEEE Industrial Elec- tronics Society, Orlando, USA, November 10-13, 2008, pp. 1608–1613.

é  Long Cheng, Zeng-Guang Hou, Min Tan, “Decentralized adaptive consensus control for multi-manipulator system with uncertain dynamics”, Proceedings of 2008 IEEE International Conference on Systems, Man, and Cybernetics, Singapore, October 12-15, 2008, pp. 2712–2717.

é  Zeng-Guang Hou, Anmin Zou, Fang-Xiang Wu, Long Cheng, Min Tan, “Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach”, Pro- ceedings of the 4th Annual IEEE Conference on Automation Science and Engineering, Washington DC, USA, August 23-26, 2008, pp. 821–826.

é  Long Cheng, Zeng-Guang Hou, Min Tan, Derong Liu, Anmin Zou,“Multi-agent based adaptive consensus control for multiple manipulators with kinematic uncertainties”, Proceedings of 2008 IEEE International Symposium on Intelligent Control, San Antonio, USA, Sept. 3-5, 2008, pp. 189–194.

é  Long Cheng, Zeng-Guang Hou, Min Tan, Xiuqing Wang, “A simplified recurrent neural network for solving nonlinear variational inequalities”, Proceedings of 2008 International Joint Conference on Neural Net- works, Hong Kong, June 1-6, 2008, pp. 104–109. (INNS Outstanding Student Travel Grant)

é  Long Cheng, Zeng-Guang Hou, Min Tan, H. Wang, “Adaptive neural network tracking control for manip- ulators with uncertainties”, Proceedings of the 17th IFAC World Congress, Seoul, Korea, July 6-11, 2008,pp. 2382–2387. (Asian Student Scholarship)

é  Long Cheng, Zeng-Guang Hou, Min Tan, “Adaptive neural network tracking control of manipulators using quaternion feedback”, Proceedings of 2008 IEEE International Conference on Robotics and Automation, Pasadena, USA, May 19-23, 2008, pp. 3371–3376.

é  Long Cheng, Zeng-Guang Hou, Min Tan, Xiuqing Wang, Zengshun Zhao, Sanqing Hu, “A recurrent neural network for non-smooth nonlinear programming problems”, Proceedings of 2007 International Joint Con- ference on Neural Networks, Orlando, USA, August 12-17, 2007, pp. 596–601. (IEEE CIS Outstanding Student Travel Grant, give up the grant due to the time schedule)

é  Long Cheng, Zeng-Guang Hou, Min Tan, “Relaxation labeling using an improved Hopfield neural network”, 2006 International Conference on Intelligent Computing, August 16-19, 2006 Kunming, China, Springer Lecture Notes in Control and Information Sciences, vol. 345, pp. 430–439, 2006.

é  ZengGuang Hou, Long Cheng, Min Tan, “Coordination of two redundant robots using a dual neural network ”, Proceedings  of 2006 International Joint Conference on Neural Networks, July, Vancouver, Canada, July 16-21, 2006, pp. 4187–4192.

é  Siyao Fu, Yunchu Zhang, Long Cheng, Zize Liang, Zeng-Guang Hou, Min Tan, “Motion based image deblur using recurrent neural network for power transmission line inspection robot ”, Proceedings of 2006 International Joint Conference on Neural Networks, July, Vancouver, Canada, July 16-21, 2006, pp. 3854– 3859.

é  Zengshun Zhao, Zeng-Guang Hou, Min Tan, Anmin Zou, Long Cheng, “Location recognition using RPCL based on reduced visual feature sets”, First International Conference on Bio-inspired Computing: Theory and Application, September, Wuhan, China, Dynamics of Continuous Discrete and Impulsive System Series B – Applications & Algorithms, vol. 14, part 2, suppl. 3, pp. 857–862, 2007.

中文期刊论文:

é  Long Cheng, Xiuze Xia, “A survey of the intelligent control of the upper limb rehabilitation exoskeleton,”Robot, vol. 44, no. 6, pp. 750–768, 2022.

é  Long Cheng, Zeyu Liu, “Flexible tactile sensing technology and its application in medical rehabilitation robots,” Control and Decision, vol. 37, no. 6, pp. 1409–1432, 2022 (cover article).

é  Long Jin, Jiachang Li, Zhenqiang Chang, Jingwei Lu, Long Cheng, “Attitude control for flapping wing micro aerial vehicle based on ACP theory,” Acta Automatica Sinica, vol. 47, pp. 1001–1013, 2021.

é  Tiandong Zhang, Rui Wang, Long Cheng, Yu Wang, Shuo Wang, “Research on energy-saving mechanism of fish schooling: a review,” Acta Automatica Sinica, vol. 47, no. 3, pp. 475–488, 2021.

é  Ning Sun, Long Cheng, “Overview of design and modeling of series elastic actuators with applications on robotics,” Acta Automatica Sinica, vol. 47, no. 7, pp. 1467–1483, 2021.

é  Long Cheng, Yang Liu, “Spiking neural networks: model, learning algorithms and applications,” Control and Decision, vol. 33, no. 5, pp. 923–937, 2018 (Invited Survey for the Journal’s 30th Anniversary Special Issue).

é  Li Yang, Zhiqiang Cao, Chao Zhou, Long Cheng, Min Tan, “Multi-robot formation control in unknown environments based on intention reasoning,” Chinese High Technology Letters, vol. 21, no. 8, pp. 842–847, 2011.

专 利

é  United States Patent (10596056B2), “Upper limb rehabilitation robot system,” Zeng-Guang Hou, Liang Peng, Weiqun Wang, Long Cheng, Guibin Bian, Xiaoliang Xie, 2020-03-24.

é  United States Patent (10722416B2), “Multi-posture lower limb rehabilitation robot,” Zeng-Guang Hou, Weiqun Wang, Long Peng, Xu Liang, Liang Peng, Long Cheng, Xiaoliang Xie, Guibin Bian, Min Tan, Lincong Luo, 2020-07-28. 

é  United States Patent (10252029B2), “Catheter or guide wire manipulating device with two-point-clamping for vascular intervention,” Zeng-Guang Hou, Guibin Bian, Xiaoliang Xie, Long Cheng, Min Tan, Zhenqiu Feng, Xiaohu Zhou, 2017-08-15. 

é  United States Patent (9731096B2), “Catheter or guide wire manipulating device for vascular intervention,” Guibin Bian, Zeng-Guang Hou, Xiaoliang Xie, Long Cheng, Min Tan, Zhenqiu Feng, Xiaohu Zhou, 2017- 08-15. 

é  United States Patent (8983621B2), “Functional electrical stimulation system,” Zeng-Guang Hou, Yixiong Chen, Pengfeng Li, Min Tan, Long Cheng, Qingling Li, Feng Zhang, Jin Hu, Xinchao Zhang, 2015-03-17. 

é  United States Patent (8755903B2), “System of functional electrical stimulation,” Zeng-Guang Hou, Min Tan, Yixiong Chen, Pengfeng Li, Hongbo Wang, Long Cheng, Guoqing Hu, Qingling Li, Feng Zhang, Jin Hu, Xinchao Zhang, Yi Hong, Junwei Zhang, Jinzhu Bai, Zhen Lv, 2014-06-17.