Constrained Nonlinear Control: Performance and Robustness (eng)

This book is concerned with nonlinear control with performance-related and system-ability-related constraints. It presents novel work on several kinds of commonly encountered nonlinear systems, including those with stricter transient performance requirements, those with two types of constraints, those with no initial-condition limitation, and those with limited resources. It shows how nonlinear systems with severe constraints can be successfully controlled with our powerful control design. Typically, the book discusses a Tunnel Prescribed Control for achieving enhanced performance; provides a comprehensive solution, namely, Saturation-tolerant Prescribed Control, to handle the conflict between constraints; and then develops a Self-adjustable Prescribed Control to address the defined Entry Capture Problem that performance constraints are satis?ed after (rather than from the beginning of) system operation. As such, the book will be of interest to researchers and graduate students in the fields of nonlinear systems, constrained control, and control engineering who would like to find out about the performance, robustness, and applications of constrained nonlinear systems.

Ruihang Ji received the B.S. and Ph.D. degree from Control Science and Engineering, Harbin Institute of Technology, China, in 2016 and 2021. He was a joint Ph.D. student supported by China Scholarship Council with the Department of Electrical and Computer Engineering at National University of Singapore, where he is currently a research fellow with the Institute for Functional Intelligent Materials. His research interests include nonlinear control, secure and robust networked systems and robotic systems. He has published more than 30 academic papers, and has been serving as an active reviewer for several prestigious scientific journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics IEEE Transactions on Systems, Man and Cybernetics: Systems, etc. He won the National Scholarship for Ph.D. Students in 2020 and First Prize in International Aerial Robotics Competition in 2015 and 2016, respectively.

Shuzhi Sam Ge is professor in the Department of Electrical and Computer Engineering of the National University of Singapore, director of Social Robotics Lab and Smart Systems Institute. He received BSc degree and MSc degree from Beijing University of Aeronautics & Astronautics in 1986, and received his Ph.D. degree and Diploma of Imperial College in Mechanical/Electrical Engineering from the Imperial College in 1993. Since 1993, he has been with the National University of Singapore. He is a Fellow of IEEE, IFAC, IET and Singapore Academy of Engineering.

His research interests include but not limited to social robotics, intelligent systems, and intelligent equipment. He was the recipient of Inaugural Temasek Young Investigator Award (2002), Defence Science and Technology Agency (DSTA) and National Technology Award of the National Science & Technology Board (2002), NSFC National Outstanding Youth Award(2001) and IEEE Control Systems Society Distinguished Member Award (2013). He has (co)-authored 7 books, and over 800 international journal and conference papers, with high H index (82) and citations (27,000). He is Clarivate Analytics (former Thomson Reuters) high-cited scientist in 2016-2018, Elsevier high-cited scientist in 2014-2018.

He serves as Vice President of Technical Activities (2009-2012), and Vice President of Technical Activities (2009-2010), Member of Board of Governors (2007-2009), Chair of Technical Committee on Intelligent Control (2005-2008) of IEEE Control Systems Society. He was the recipient of Changjiang Guest Professor at MOE in China (2008). He has completed a number of national projects across universities, research institutes, and industries in Singapore. He is the founder and editor-in-chief of "The International Journal of Social Robots" (Springer Press) and deputy editor of "Automatica". He serves as an Associate Editor for a number of flagship journals including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, and IEEE Transactions on Neural Networks, Book Editor of Taylor&Frabcis Automation and Control Engineering Series. He served as General Chair and Program Chair for a number of IEEE international conferences.

Dongyu Li received the B.S. and Ph.D. degree from Control Science and Engineering, Harbin Institute of Technology, China, in 2016 and 2020. He was a joint Ph.D. student supported by China Scholarship Council with the Department of Electrical and Computer Engineering at National University of Singapore, where he is currently a research fellow with the Department of Biomedical Engineering. His research interests include networked systems, human-robot interaction, and intelligent control systems. He has published more than 30 academic papers, and has served/been serving as an Associate Editor of the 15th International Conference on Intelligent Unmanned Systems, the 10th International Conference on Social Robotics, and an active reviewer of many international journals and conferences. He won the National Scholarship for Ph.D Students and received the Excellent Reviewer Award of Science China in 2019 and 2020, respectively.