This book discusses the Sliding Mode Control (SMC) problems of networked control systems (NCSs) under various communication protocols including static/dynamic/periodic event-triggered mechanism, and stochastic communication, Round-Robin, weighted try-once-discard, multiple-packet transmission, and the redundant channel transmission protocol. The super-twisting algorithm and the extended-state-observer-based SMC scheme are described in this book for suppressing chattering. Besides, the SMC designs for two-dimensional (1-D) and two-dimensional (2-D) NCSs are illustrated as well.
Features:
- Captures recent advances of theories, techniques, and applications of networked sliding mode control from an engineering-oriented perspective.
- Includes new design ideas and optimization techniques of networked sliding mode control theory.
- Provides advanced tools to apply networked sliding mode control techniques in the practical applications.
- Discusses some new tools to the engineering applications while dealing with the model uncertainties and external disturbances.
This book aims at Researchers and professionals in Control Systems, Computer Networks, Internet of Things, and Communication Systems.
Jun Song received the B.E. degree in electronic science and technology and the M.E. degree in pattern recognition and intelligent system from Anhui University, Hefei, China, in 2011 and 2014, respectively, and the Ph.D. degree in control science and engineering from East China University of Science and Technology, Shanghai, China, in 2018. He is currently an Associate Professor with Anhui University. From October 2016 to October 2017, he was a visiting Ph.D. student with the Department of Computer Science, Brunel University London, Uxbridge, U.K. He also was a Research Assistant or Research Fellow with The University of Hong Kong, Hong Kong, China; City University of Hong Kong, Hong Kong, China; and Western Sydney University, Penrith, NSW, Australia. His research interests include networked sliding mode control theory and its applications, Markovian jump systems, large-scale systems, and finite-time stability. Dr. Song was a recipient of the Chinese Association of Automation Outstanding Ph.D. Dissertation Award in 2019.
Zidong Wang is Professor of Dynamical Systems and Computing at Brunel University London, West London, United Kingdom. He was born in 1966 in Yangzhou, Jiangsu, China. He received the BSc degree in Mathematics in 1986 from Suzhou University, Suzhou, the MSc degree in Applied Mathematics in 1990 and the PhD degree in Electrical and Computer Engineering in 1994, both from Nanjing University of Science and Technology, Nanjing.
He was appointed as Lecturer in 1990 and Associate Professor in 1994 at Nanjing University of Science and Technology. From January 1997 to December 1998, he was an Alexander von Humboldt research fellow with the Control Engineering Laboratory, Ruhr-University Bochum, Germany. From January 1999 to February 2001, he was a Lecturer with the Department of Mathematics, University of Kaiserslautern, Germany. From March 2001 to July 2002, he was a University Senior Research Fellow with the School of Mathematical and Information Sciences, Coventry University, U.K. In August 2002, he joined the Department of Computer Science, Brunel University London, U.K., as a Lecturer, and was then promoted to a Reader in September 2003 and to a Chair Professor in July 2007.
Professor Wang's research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 600 papers in refereed international journals. He was awarded the Humboldt research fellowship in 1996 from Alexander von Humboldt Foundation, the JSPS Research Fellowship in 1998 from Japan Society for the Promotion of Science, and the William Mong Visiting Research Fellowship in 2002 from the University of Hong Kong. He was a recipient of the State Natural Science Award from the State Council of China in 2014 and the Outstanding Science and Technology Development Awards (once in 2005 and twice in 1997) from the National Education Committee of China.
Professor Wang is currently serving or has served as the Editor-in-Chief for International Journal of Systems Science, the Editor-in-Chief for Neurocomputing, Executive Editor for Systems Science and Control Engineering, Subject Editor for Journal of The Franklin Institute, an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Systems, Man, and Cybernetics - Systems, Asian Journal of Control, Science China Information Sciences, IEEE/CAA Journal of Automatica Sinica, Control Theory and Technology, an Action Editor for Neural Networks, an Editorial Board Member for Information Fusion, IET Control Theory & Applications, Complexity, International Journal of Systems Science, Neurocomputing, International Journal of General Systems, Studies in Autonomic, Data-driven and Industrial Computing, and a member of the Conference Editorial Board for the IEEE Control Systems Society. He served as an Associate Editor for IEEE Transactions on Neural Networks, IEEE Transactions on Systems, Man, and Cybernetics - Part C, IEEE Transactions on Signal Processing, Circuits, Systems & Signal Processing, and an Editorial Board Member for International Journal of Computer Mathematics.
Professor Wang is a Member of the Academia Europaea (section of Physics and Engineering Sciences), a Fellow of the IEEE (for contributions to networked control and complex networks), a Fellow of the Chinese Association of Automation, a Member of the IEEE Press Editorial Board, a Member of the EPSRC Peer Review College of the UK, a Fellow of the Royal Statistical Society, a member of program committee for many international conferences, and a very active reviewer for many international journals. He was nominated an appreciated reviewer for IEEE Transactions on Signal Processing in 2006-2008 and 2011, an appreciated reviewer for IEEE Transactions on Intelligent Transportation Systems in 2008, an outstanding reviewer for IEEE Transactions on Automatic Control in 2004 and for the journal Automatica in 2000.
Yugang Niu received his M.Sc. and Ph.D. degrees in control engineering from the Nanjing University of Science and Technology, Nanjing, China, in 1992 and 2001, respectively. In 2003, he joined the School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China, where he is currently a Professor. His current research interests include stochastic systems, sliding mode control, Markovian jump systems, networked control systems, wireless sensor networks, and smart grid. Prof. Niu is currently an Associate Editor of several international journals, including Information Sciences, Neurocomputing, IET Control Theory & Applications, Journal of The Franklin Institute, and International Journal of System Sciences. He is also a member of Conference Editorial Board of IEEE Control Systems Society.
