General

Prof. Long Cheng


Correspondence Address:

Room 1206, Intelligence Building, No. 95 Zhongguancun East Road, Beijing, China, 100190

Email: long.cheng@ia.ac.cn

Tel.: 86-10-82544741

Fax.: 86-10-82544531

Education

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)



Work Experience

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


Professional Acitivies
  • IEEE Senior Member,  INNS Member, APNNS Member

  • Editorial Board Member: Neurocomputing (Elsevier)

  • Editorial Board Member: Neural Processing Letters (Springer)

  • Associate Editor: International Journal of Sciences System (Taylor & Francis)

  • Editorial Board Member: Neural Computing & Applications (Springer)

  • Editorial Board Member: Advances in Mechanical Engineering (Hindawi)

  • Editorial Board Member: Journal of Systems Science and Mathematical Sciences (in Chinese)

  • Editorial Board Member: Decision and Control (in Chinese)

  • Guest Editor: IEEE Transactions on Neural Networks and Learning Systems, Special Issue of “Neurodynamic Systems for Optimization and Applications”

  • Guest Editor: Neural Computing & Applications (Springer), Special Issue on Neural Networks for Biomedical Engineering: Information Processing, Modeling, and Control

  • Technical Committee Member: IFAC Technical Committee 4.3 Robotics

  • Technical Committee Member: IEEE CIS Neural Networks Technical Committee (NNTC)

  • Technical Committee Member: Technical Committee on Control Theory (TCCT), Chinese Association of

  • Automation (CAA)

  • Technical Committee Member: Technical Committee on Data-Driven Control and Learning Systems (DDCLS), Chinese Association of Automation (CAA)

  • Technical Committee Member: Technical Committee on Intelligent Services, Chinese Association of Artificial Intelligence (CAAI)

  • Standing Committee Member: Youth Works Committee, Chinese Association of Automation (CAA)

  • Technical Committee Member: Technical Committee on Cyber-Physical-Systems, Chinese Association of Automation (CAA)

  • Technical Committee Member: Subcommittee on Multi-Agent Systems, Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)

  • Program Committee Chair, The 25th International Conference on Neural Information Processing (ICONIP 2018)

  • Special Session Chair: The 15th International Symposium on Neural Networks (ISNN 2018)

  • Program Committee Chair: The Seventh International Conference on Information Science and Technology (ICIST 2017)

  • Special Session Chair: The 14th International Symposium on Neural Networks (ISNN 2017)

  • Publicity Chair, 2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS 2017)

  • Tutorial and Workshop Chair, The 24th International Conference on Neural Information Processing (ICONIP 2017)

  • Program Committee Chair: The 13th International Symposium on Neural Networks (ISNN 2016)

  • Tutorials/Workshop Chair: 2016 IEEE International Conference on Advanced Robotics and Mechatronics (IEEE-ARM 2016)

  • Special Session Chair: The 7th International Conference on Intelligent Control and Information Processing (ICICIP 2016)

  • Conference Associate Editor: 2017 IEEE International Conference on Control & Automation (ICCA 2017)

  • Conference Associate Editor: 2017 IFAC World Congress (IFAC WC 2017)


Teaching Experience
  • Intelligent Control

  • Linear Systems

  • Advanced Control Theory


Honors & Distinctions

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

  • Aharon Katzir Young Investigator Award, International Neural Network Society (INNS), 2017.

  • Young Researcher Award, Asia Pacific Neural Network Society (APNNS), 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 Artificial Intelligence Association, 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.

  • Recipient of Outstanding Contribution Award, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, 2015.

  • Recipient of “Automatica” Outstanding Reviewer Award, 2015.

  • Recipient of “International Journal of Automation and Computing” Outstanding Reviewer, 2015.

  • Recipient of Natural Science Award of Chinese Association of Automation (first class, the second achiever), Chinese Association of Automation, 2015.

  • American Control Conference (ACC) Student Travel Award (recipient Weichuan Liu, co-supervised PhD student), 2015.

  • Recipient of Science and Technology Award of Beijing (third class, the second achiever), Beijing Municipal Government, 2014.

  • Finalist paper of IEEE CSS Beijing Chapter Young Author Prize, Chinese Control Conference, Nanjing China, July 28-30, 2014.

  • Recipient of Outstanding Contribution Award, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, 2014.

  • Recipient of “IET Control Theory and Applications” Outstanding Reviewer, 2014.

  • Recipient of the IEEE Transactions on Neural Networks Outstanding Paper Award, IEEE Computational Intelligence Society, 2013.

  • Recipient of Best Paper Award in Automation, 2013 IEEE International Conference on Information and Automation in conjunction with 2013 IEEE International Conference on Automation and Logistics, Yinchuan China, August 26-28, 2013.

  • Recipient of Lu-Jia-Xi Young Talent Award, K.C. Wong Education Foundation, Chinese Academy of Sciences, 2013.

  • Recipient of Science and Technology Award of Beijing (first class, the fifth achiever), Beijing Municipal Government, 2013.

  • Recipient of Director's Recognition Award, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, 2013.

  • Recipient of Distinguished Young Investigator in Sciences and Technologies of Beijing (Beijing Nova Program), Beijing Municipal Science & Technology Commission, 2012.

  • Recipient of Director's Recognition Award, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, 2012.

  • Nominee of National One-Hundred Distinguished Doctoral Dissertation, Ministry of Education of the People's Republic of China, 2011.

  • Member of Youth Innovation Promotion Association, Chinese Academy of Sciences, 2011.

  • Recipient of Distinguished Doctoral Dissertation Award, Chinese Academy of Sciences, 2010.

  • Recipient of Distinguished Doctoral Dissertation Award, Beijing Municipal Education Commission, 2010.

  • Recipient of Special Prize of Presidential Scholarship of Chinese Academy of Sciences (the highest award for students in Chinese Academy of Sciences), 2009.

  • Recipient of Outstanding Graduate Title of Graduate University of Chinese Academy of Sciences, 2009.

Publications

   
Papers

  1. Chenguang Yang, Yiming Jiang, Jing Na, Zhijun Li, Long Cheng, Chunyi Su, “Finite-time convergence adaptive fuzzy control of uncertain dual-arm robot,” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2018.2864940, in press, 2018.

  2. Chenguang Yang, Guangzhu Peng, Yanan Li, Rongxin Cui, Long Cheng, Zhijun Li, “Neural networks enhanced adaptive admittance control of optimized robot-environment interaction,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2018.2828654, in press, 2018.

  3. 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.

  4. Huiyang Liu, Long Cheng, Min Tan, Zeng-Guang Hou, “Exponential finite-time consensus of fractional-ordermulti-agentsystems,” IEEETransactionsonSystems, ManandCybernetics: Systems, DOI:10.1109/TSMC.2018.2816060, in press, 2018.

  5. Jing Wang, Qilun Wang, Jinglin Zhou, Xiaohui Wang, Long Cheng, “Operation space design of microbial 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.

  6. 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.

  7. 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 Industrial Electronics, vol. 64, no. 4, pp. 3048–3058, 2017.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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 Cybernetics: Systems, vol. 46, no. 7, pp. 980–992, 2016.

  15. 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.

  16. 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.

  17. 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.

  18. Yunpeng Wang, Long Cheng, Chenguang Yang, Zeng-Guang Hou, Min Tan, “Reaching a stochastic consensus 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.

  19. 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.

  20. 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 Sciences, vol. 6, pp. 95–107, 2015.

  21. 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.

  22. 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.

  23. 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 Automatic 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.)

  24. 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.

  25. 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.

  26. 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.

  27. 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.)

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

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

  36. 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.

  37. Shery Modi, Yingzi Lin, Long Cheng, Guosheng Yang, Lizhi Liu, Wenjun Zhang, “Asocially inspired framework for human state inference using expert opinion integration,” IEEE/ASME Transactions on Mechatronics, vol. 16, no. 5, pp. 874–878, 2011.

  38. 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.

  39. 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.

  40. 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 Control, vol. 56, no. 8, pp. 1958–1963, 2011.

  41. 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 regulatory networks,” IEEE Transactions on Neural Networks, vol. 21, no. 5, pp. 714–726, 2011. (IEEE Transactions on Neural Networks Outstanding Paper Award)

  42. Xu Wang, Long Cheng, Zhiqiang Cao, Min Tan, Zeng-Guang Hou, “Output-feedback consensus control of linearmulti-agent systems: afixed 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.)

  43. 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.

  44. 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 Networks, vol. 21, no. 8, pp. 1351–1358, 2010.

  45. 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.

  46. 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.

  47. 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.

  48. 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.

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

  50. 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.

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

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

  53. 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.

  54. 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.

  55. 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.

  56. 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.

  57. 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.


Patents
  1. 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.

  2. 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.

  3. 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.


Research Interests

  • Intelligent Control for Robotic Systems

  • Computational Intelligence and Neural Networks


Fundings

  • 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)

Students

已指导学生

陈妙  硕士研究生  085210-控制工程  

王昂  硕士研究生  081101-控制理论与控制工程  

刘伟舟  硕士研究生  085210-控制工程  

刘洋  硕士研究生  085210-控制工程  

现指导学生

李厚成  博士研究生  081101-控制理论与控制工程  

李晨光  博士研究生  081101-控制理论与控制工程  

曹然  博士研究生  081203-计算机应用技术  

孙宁  博士研究生  081101-控制理论与控制工程  

田琳  硕士研究生  081101-控制理论与控制工程  

秦世杰  博士研究生  081101-控制理论与控制工程  

邹永向  博士研究生  081203-计算机应用技术  

夏修泽  博士研究生  081101-控制理论与控制工程  

张煜  博士研究生  081203-计算机应用技术  

刘益发  博士研究生  081101-控制理论与控制工程  

刘泽宇  硕士研究生  081101-控制理论与控制工程  

Further Information

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