Ph.D. Degree in Control Theory and Control Engineering, 2004. 9– 2009. 7

Institute of Automation, Chinese Academy of Sciences, Beijing, China. (Graduated with honor)

Bachelor Degree in Control Engineering, 2000. 9—2004. 7

Department of Automation, Nankai University, Tianjin, China. (Graduated with honor)

Professor, 2014. 11 to present

State Key Laboratory of Management and Control for Complex Systems

Institute of Automation, Chinese Academy of Sciences,

Beijing, China.

Associate Professor, 2011. 10– 2014.11

State Key Laboratory of Management and Control for Complex Systems

Institute of Automation, Chinese Academy of Sciences,

Beijing, China.

Assistant Professor, 2009. 07– 2011. 09

Institute of Automation, Chinese Academy of Sciences,

Beijing, China.

Post-Doctoral Research Associate, 2010. 02– 2010. 09

Department of Mechanical, College of Engineering, University of Saskatchewan,

Saskatoon, Saskatchewan, Canada.

Post-Doctoral Research Associate, 2010. 9– 2011. 03

Mechanical and Industrial Engineering Department, College of Engineering, Northeastern University,

Boston, Massachusetts, USA.

Visiting Scholar, 2013. 12– 2014. 03

Department of Electrical Engineering, College of Engineering, University of California at Riverside,

Riverside, California, USA.

Senior Research Associate, 2015. 12

Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong,

Shatin, Hong Kong SAR China.

Visiting Scholar, 2016. 04

Faculty of Science and Technology, Bournemouth University, Poole, Dorset, UK

• Associate Editor of IEEE Transactions on Automation Science and Engineering

• Associate Editor of IEEE Transactions on Cybernetics

• Associate Editor of IEEE Cognitive and Developmental Systems
  

• Technical Editor of IEEE/ASME Transactions on Mechatronics

• Associate Editor of Science China Information Sciences

• Associate Editor of Science China Technological Sciences

• Associate Vice President for Publication, IEEE Systems, Man and Cybernetics Society

• Beijing Chapter Chair, IEEE Computational Intelligence Society

• Vice President, Beijing Association of Artificial Intelligence

• Intelligent Control

• Linear Systems

• Advanced Control Theory

• First-Place Prize of the Hand Gesture Interaction Category at World Robot Competition (Lijun Han, Yifan Wang; Long Cheng (supervisor)), 2022.

• Finalist Award at 2022 ASME Student Mechanism & Robot Design Competition (Xiuze Xia, Lijun Han, Yifan Wang, Haoyu Zhang; Long Cheng (supervisor)), 2022.

• Recipient of Beijing Youth Science and Technology Award, Mao-Yisheng Foundation, 2022.

• Recipient of SCIS-CCC Poster Paper Award bestowed by 2022 Chinese Control Conference, 2022.

• Finalist paper of IEEE CSS Beijing Chapter Young Author Prize, Chinese Control Conference, Hefei China, 2022.

• Recipient of Best Application Paper Award bestowed by 2021 China Automation Congress, 2021.

• Recipient of Best Paper Award bestowed by 2021 IEEE International Conference on Real-time Computing and Robotics, 2021.

• Recipient of Best Student Paper Award bestowed by 2021 International Conference on Life System Modeling and Simulation and 2021 International Conference on Intelligent Computing for Sustainable Energy and Environment, 2021.

• Recipient of Chinese Automation Association (CAA) Outstanding Young Scientist Award, 2020.

• Recipient of Outstanding Post-Graduate Lecture Award (“Modern Control Theory”), University of Chinese

• Academy of Sciences, 2020. Recipient of Li-Pei Outstanding Faculty Award, University of Chinese Academy of Sciences, 2020.

• Recipient of Zadeh Best Paper Award bestowed by IEEE 2020 International Conference on Information, Cybernetics, and Computational Social Systems, 2020.

• Recipient of Best Paper Award bestowed by IEEE 9th Data Driven Control and Learning Systems Conference, 2020.

• Recipient of Best Paper Award (first class) bestowed by National Forum of Artificial Intelligence and Applications for Post-Doctor Fellows, 2020.

• Third-Place Prize, Overall Ranking of Clinical BCI Challenge-WCCI-2020, IEEE World Congress on Computational Intelligence (WCCI) Grand Competition, 2020.

• Recipient of Chu-Li-Yuet-Wah Outstanding Faculty Award, University of Chinese Academy of Sciences, 2019.

• Aharon Katzir Young Investigator Award, International Neural Network Society (INNS), 2018.

• Recipient of National Natural Science Award (second class, the fourth achiever), Chinese State Council, 2017.

• Young Researcher Award, Asia Pacific Neural Network Society (APNNS), 2017.

• Recipient of “Control Theory and Applications” Outstanding Reviewer, 2017.

• Distinguished Doctoral Dissertation Co-Supervisor, “Coordination Control of Linear Multi-Agent Systems

• with Communication Noises” (Yunpeng Wang) bestowed by Chinese Automation Association, 2017.

• Distinguished Doctoral Dissertation Co-Supervisor, “Coordination Control of Linear Multi-Agent Systems

• with Communication Noises” (Yunpeng Wang) bestowed by Chinese Association of Artificial Intelligence,

• 2017.

• Recipient of Best Paper Award, 2017 International Conference on Life System Modeling and Simulation and 2017 International Conference on Intelligent Computing for Sustainable Energy and Environment.

• Recipient of Best Paper Award, the 9th International Conference on Human System Interaction, July 6–8 2016, Portsmouth, UK.

1. ​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.

2. 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.

3. Zeyu Liu, Long Cheng, Zhengwei Li, “A pressure-based high-quality wrist pulse measurement system with an application in emotion analysis,” IEEE Sensors Journal, vol. 23, no. 18, pp. 21821–21831, 2023.

4. 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.

5. Yu Wang, Hongfei Chu, Ruichen Ma, Xuejian Bai, Long Cheng, Shuo Wang, Min Tan, “Learning-based dis[1]continuous path following control for a biomimetic underwater vehicle,” Research, in press, DOI: 10.34133/research.0299, 2023.

6. 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, in press, DOI: 10.1109/TII.2023.3342899, 2023.

7. 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, vol. 39, no. 6, pp. 4350–4365, 2023.

8. 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.

9. Ran Cao, Long Cheng, Houcheng Li, “Passive model predictive impedance control for safe physical human[1]robot interaction,” IEEE Transactions on Cognitive and Developmental Systems, in press, DOI: 10.1109/TCDS.2023.3275217, 2023.

10. 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.

11. 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.

12. 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, vol. 72, article no. 5010314, 2023.

13. Yongxiang Zou, Long Cheng, “Multi-modal fusion for robust hand gesture recognition based on heteroge[1]neous networks,” Science China Technological Sciences, vol. 66, no. 11, pp. 3219–3230, 2023.

14. 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, 2023.

15. 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.

16. Chenguang Yang, Ying Zhang, Guanyi Zhao, Long Cheng, “Human-robot shared control system based on 3D point cloud and teleoperation,” Science China Technological Sciences, vol. 66, pp. 2406–2414, 2023.

17. 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, vol. 34, no. 8, pp. 4237–4248, 2023.

18. 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.

19. 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.

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

21. 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.

22. 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.

23. 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.

24. Xiang Dong, Jing Zhang, Long Cheng, Wenjun Xu, Huang Su, Tao Mei, “A policy gradient algorithm integrating long and short-term rewards for soft continuum arm control,” Science China Technological Sciences, vol. 65, pp. 2409–2419, 2022.

25. 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.

26. 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.

27. Chenguang Li, Hongjun Yang, Long Cheng, Fubiao Huang, Shuang Zhao, Dongyue Li, Ruxiu Yan, “Quanti[1]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.

28. 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.

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

30. 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.

31. 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.

32. 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.

33. 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.

34. 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.

35. 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.

36. 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.

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

38. 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.

39. 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.

40. 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.

41. 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.

42. 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.

43. 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)

44. 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.

45. 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.

46. 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.

47. 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.

48. 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.

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

50. 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.

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

52. 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.

53. 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 Sciences, vol. 63, article no. 192205, 2020.

54. 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.

55. 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.

56. 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.

57. 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.

58. 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.

59. 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.

60. 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.

61. 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.

62. 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.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

• Rehabilitation and Assistive Robots

• Tactile Sensors

• Wearable Technology

• Human-Robot Interaction

• Intelligent Control

• Computational Intelligence and Neural Networks

• National Natural Science Foundation of China (Grant No. 62333023): On human-robot bilateral interaction technologies of wearable exoskeleton for lifting-carrying augmentation (PI) (2,330,000 RMB, 2024–2028)

• National Natural Science Foundation of China (NSFC-RS) (Grant No. 62311530097): Multi-objective human-robot interaction control for upper-limb rehabilitation based on multi-modal information fusion (PI) (100,000 RMB, 2023–2025)

• CAS Project for Young Scientists in Basic Research (Grant No. YSBR-034): Mathematical principles of deep learning (Co-PI) (1,350,000 RMB, 2022-2027)

• National Key Research & Development Program (Grant No. 2022YFB4703204): On the rehabilitation assessment and human-in-the-loop coordinated control (PI) (2,000,000 RMB, 2022–2025)

• National Key Research & Development Program (Grant No. 2021ZD0114503): Plug-and-play middle-ware and tool software for advanced intelligent controllers (co-PI) (600,000 RMB, 2022–2025)

• CIE-Tencent Robotics X Project: Design and control of novel actuator and transmission devices (PI) (500,000 RMB, 2021-2023)

• National Natural Science Foundation of China (Grant No. 62025307): Intelligent control for robots (PI) (4,000,000 RMB, 2021–2025)

• National Natural Science Foundation of China (Grant No. U1913209): On key technologies of hand rehabilitation robots for post-stroke patients (PI) (2,450,000 RMB, 2020–2023)

• Beijing Municipal Natural Science Foundation (Grant No. JQ19020): Intelligent perception and compliant control for hand rehabilitation robots (PI) (1,000,000 RMB, 2019–2021)

• National Natural Science Foundation of China (Grant No. 61873268): Intelligent sensing and control for an automatic collection device of brain slices (PI) (660,000 RMB, 2019–2022)

• National Ten Thousand Talent Program: Young Top-Notch Talent Research Fund (PI) (1,750,000 RMB, 2018-2020)

• Major Science and Technology Fund of Beijing (Grant No. Z181100003118006): Key Technology on Locomotion Control of Biomimetic Swimming Robot (PI) (2,000,000 RMB, 2018-2019)

• Beijing Municipal Natural Science Foundation (Grant No. 4162066): Intelligent Modelling and Control for Piezoelectric Actuators with Applications (PI) (180,000 RMB, 2016–2018)

• National Natural Science Foundation of China (Grant No. 61633016): Secure Control and Applications of Complex Networked Systems with Integration of Communication and Computation (Co-PI) (790,000 RMB, 2017–2021)

• National Natural Science Foundation of China (Grant No. 61422310): Intelligent Control and Optimization for Robotic Systems (PI) (1,000,000 RMB, 2015–2017)

• Outstanding Young Scientist Project supported by Chinese Academy of Sciences (PI) (2,400,000 RMB, 2015–2017)

• Lujiaxi Talent Fund, Institute of Automation, Chinese Academy of Sciences: Intelligent Control of Smart Materials (PI) (150,000 RMB, 2015–2016)

• Talent Fund of State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences: Intelligent Control of Piezoelectric Actuators (PI) (150,000 RMB, 2015)

• Open Research Fund of State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology: Distributed coordinated control of multi-robot systems (PI) (50,000 RMB, 2014–2015)

• National Natural Science Foundation of China (Grant No. 61370032): On Coordination of Generic Linear Multi-Agent Systems with an Application to Multi-Robot Systems (PI) (790,000 RMB, 2014–2017)

• Beijing Nova Program (Grant No. Z121101002512066): Interaction and Control of Hybrid Human/Robots Network (PI) (280,000 RMB, 2013–2015)

• Early Career Development Award of State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences: Coordination of a Network of Euler-Lagrangian Robots (PI) (60,000 RMB, 2012-2013)

• Beijing Municipal Natural Science Foundation (Grant No. 4123105): On the recurrent-neural-network based method for solving non-smooth optimization problems and related applications (PI) (40,000 RMB, 2012–2013)

• Research/Traning Funding for Members of Youth Innovation Promotion Association sponsored by Chinese Academy of Sciences (PI) (300,000 RMB, 2012–2014)

• Research Funding for Awardees of Special Prize of President Scholarship of Chinese Academy of Sciences: Coordination Control of Multi-robot Systems Based on the Consensus Approach (PI) (400,000 RMB, 2010–2013)

• National Natural Science Foundation of China (Grant No. 61004099): Research on the Consensus Problem of Multi-Agent Systems under Complex Environments (PI) (190,000 RMB, 2011–2013)

Thank you for visiting here. If you are interested in my research, please send me an email (long.cheng@ia.ac.cn).