Networked Non-linear Stochastic Time-Varying Systems: Analysis and Synthesis copes with the filter design, fault estimation and reliable control problems for different classes of nonlinear stochastic time-varying systems with network-enhanced complexities. Divided into three parts, the book discusses the finite-horizon filtering, fault estimation and reliable control, and randomly occurring nonlinearities/uncertainties followed by designing of distributed state and fault estimators, and distributed filters. The third part includes problems of variance-constrained H∞ state estimation, partial-nodes-based state estimation and recursive filtering for nonlinear time-varying complex networks with randomly varying topologies, and random coupling strengths.
- Offers a comprehensive treatment of the topics related to Networked Nonlinear Stochastic Time-Varying Systems with rigorous math foundation and derivation
- Unifies existing and emerging concepts concerning control/filtering/estimation and distributed filtering
- Provides a series of latest results by drawing on the conventional theories of systems science, control engineering and signal processing Deal with practical engineering problems such as event triggered H∞ filtering, non-fragile distributed estimation, recursive filtering, set-membership filtering
- Demonstrates illustrative examples in each chapter to verify the correctness of the proposed results
This book is aimed at engineers, mathematicians, scientists, and upper-level students in the fields of control engineering, signal processing, networked control systems, robotics, data analysis, and automation.
Table of Contents
1. Introduction 2. Event-Triggered Multi-objective Filtering and Control 3. Finite-Horizon Reliable Control Subject to Output Quantization 4. Finite-Horizon Estimation of Randomly Occurring Faults 5. Set-Membership Filtering under Weighted Try-Once-Discard Protocol 6. Distributed Estimation over Sensor Network 7. State Estimation for Complex Networks 8. Event-Triggered Recursive Filtering for Complex Networks with Random Coupling Strengths 9. Conclusions and Future Work
Hongli Dong received the Ph.D. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2012. She was a Research Assistant with the Department of Applied Mathematics, City University of Hong Kong, Hong Kong, from 2009 to 2010 and with the Department of Mechanical Engineering, University of Hong Kong, Hong Kong, from 2010 to 2011. From 2011 to 2012, she was a Visiting Scholar with the Department of Information Systems and Computing, Brunel University London, Uxbridge, U.K. From 2012 to 2014, she was an Alexander von Humboldt Research Fellow with the University of Duisburg–Essen, Duisburg, Germany. She is currently a Professor with the Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China, where she is also the Director of the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control. Her current research interests include robust control and networked control systems. Dr. Dong is a very active reviewer for many international journals.
Zidong Wang is currently an IEEE Fellow and Professor of Dynamical Systems and Computing with the Department of Computer Science at Brunel University London in the United Kingdom. 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 Information Systems and Computing, Brunel University, 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 500 papers in refereed international journals. According to the Web of Science, his publications have received more than 18,000 citations (excluding self-citations) with h-index 98. 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.
Professor Wang is an IEEE Fellow for his contributions to networked control and complex networks. He has served or is serving as an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Neural Networks, IEEE Transactions on Signal Processing, IEEE Transactions on Systems, Man, and Cybernetics - Part C, IEEE Transactions on Control Systems Technology, Circuits, Systems & Signal Processing, Asian Journal of Control, an Action Editor for Neural Networks, an Editorial Board Member for IET Control Theory and Applications, International Journal of Systems Science, Neurocomputing, International Journal of Computer Mathematics, International Journal of General Systems, and an Associate Editor on the Conference Editorial Board for the IEEE Control Systems Society. He is a Senior Member of the IEEE, 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.
Nan Hou received the M.Eng. degree in control science and engineering and the Ph.D. degree in petroleum and natural gas engineering from Northeast Petroleum University, Daqing, China, in 2015 and 2018, respectively. In 2018, she was a Research Associate with the Department of Mathematics, City University of Hong Kong, Hong Kong, for three months. She is currently an Associate Professor with the Institute of Complex Systems and Advanced Control, Northeast Petroleum University. Her current research interests include networked control systems, and oil gas information and control engineering.