Huang, Jiangshuai, Professor of Chongqing University, China
Jiangshuai Huang received his B.Eng degree in Automation and MSc degree in Control Theory and Control Engineering from Huazhong University of Science and Technology, Wuhan, China in 2007 and 2009 respectively, and Ph.D degree in Electrical and Electronics Engineering from Nanyang Technological University (Singapore) in 2015. From August 2014 to January 2016, he was a Research Fellow with the Department of Computer Engineering at National University of Singapore, Singapore. Currently, he is a Professor with the School of Automation at Chongqing University and supported by CQU 100 Young Talent Recruitment Program. His research interests include adaptive control of uncertain systems, distributed cooperative control of multi-agent systems, fault tolerant control, secure control of cyber-physical systems, and flight control systems. Jiangshuai Huang is the recipient of Zhang Si-Ying Outstanding Youth Paper Award in 2013 25th Chinese Control and Decision Conference. He authored 1 book in the field of underactuated mechanical system control and over 50 journal papers.
Contact Information
Telephone: +86-23-65112173
Email: jshuang@cqu.edu.cn
Address: Shazheng Street174#, Shapingba District,Chongqing, 400044,China
Education
Ph.D., (E.E.), Nanyang Technological University, 2015.
M.S., (E.E.), Huazhong University of Science and Technology, P. R. China, 2009.
B.S., (E.E.), Huazhong University of Science and Technology, P. R. China, 2007.
Academic Experience
Professor, 1/2016- present, Chongqing University, Chongqing, P. R. China
Research Fellow, 08/2014– 1/2016, National University of Singapore, Singapore
Research Interests
Adaptive Control
Distributed Control
Autonomous Systems
Multi-agent Systems
Cyber-Physical Systems
Publications
Part I – Books
[1] Jiangshuai Huang, Yongduan Song, Adaptive and fault-tolerant control of underactuated nonlinear systems, Taylor & Francis, 2017.
Part II – Referred Journal Papers (selected)
[1] Jiangshuai Huang, Wei Wang, Changyun Wen, Guoqi Li, Adaptive Event-Triggered Control of Nonlinear Systems with Controller and Parameter Estimator Triggering, IEEE Transactions on Automatic Control, 65(1):318-324, 2019.
[2] Jiangshuai Huang, Changyun Wen, Wei Wang, Zhong-Ping Jiang, Adaptive output feedback tracking control of a nonholonomic mobile robot, Automatica, Regular paper,
50(3), 821-831, 2014.
[3] Jiangshuai Huang, Changyun Wen, Wei Wang, Yong-Duan Song, Adaptive finite-time consensus control of a group of uncertain nonlinear mechanical systems, Automatica, 51, 292-301, 2015.
[4] Jiangshuai Huang, Changyun Wen, Wei Wang, Yong-Duan Song, Design of adaptive finite-time controllers for nonlinear uncertain systems based on given transient specifications, Automatica, 69, 395-404, 2016.
[5] Jiangshuai Huang, Wei Wang, Changyun Wen, Jing Zhou, Adaptive control of a class of strict-feedback time-varying nonlinear systems with unknown control coefficients, Automatica, 93, 98-105, 2018.
[6] Jiangshuai Huang, Yongduan Song, Wei Wang, Changyun Wen, Smooth Control Design for Adaptive Leader-following Consensus Control of a Class of High-order Nonlinear Systems with Time-varying Reference, Automatica, 83, 361-367, 2017.
[7] Jiangshuai Huang, Wei Wang, Changyun Wen, Jing Zhou, Guoqi Li, Distributed Adaptive Leader-follower and Leaderless Consensus Control of a Class of Strict feedback Nonlinear Systems: A Unified Approach, Automatica, DOI: 10.1016/j.automat ica.2020.109021, 2020.
[8] Jiangshuai Huang, Yongduan Song, Wei Wang, Changyun Wen, Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions, IEEE Transactions on Cybernetics. 48(8):2349-2356, 2018.
[9] Jiangshuai Huang, Wei Wang, Jing Zhou, Adaptive Control Design for Underactuated Cranes with Guaranteed Transient Performance: Theoretical Design and Experimental Verification, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2021.3065835, 2021.
[10] Jiangshuai Huang, Wei Wang, Xiaojie Su, Adaptive Iterative Learning Control of Multiple Autonomous Vehicles with a Time-Varying Reference under Actuator Faults, IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2021. 3069209, 2021.
Awards/Honors
· Best Paper Award, CCDC Conference, 2013