Recursive Filtering of Networked Systems with Communication Protocol Scheduling explores protocol-based state estimation for complex networked systems including Kalman filtering for nonlinear systems under Round-Robin (RR) and MEF-TOD protocols, finite-horizon robust state estimation under FlexRay protocol, robust filtering for multi-rate systems under RR and stochastic communication protocols, and state estimation under event-triggering protocol and redundant channel for neural networks. This book provides theoretical frameworks using techniques like backward Riccati equations, Kalman filtering theory, Unscented transform, and ellipsoid estimation theory.
Features
1 Focuses on the intersection of recursive filtering techniques and communication protocol scheduling
2 Introduces communication protocols to allocate limited network resources
3 Enhances the reliability and accuracy of information transmission and minimize the occurrence of information conflicts and congestion in the network
4 Offers practical strategies for real-world challenges in networked systems
5 Explains designing filtering unit for a class of complex networks
This book is aimed at graduate students and researchers in electrical engineering, power systems, control systems.
Table of Contents:
1.Introduction 2. Protocol-Based Unscented Kalman Filtering in the Presence of Stochastic Uncertainties 3. Protocol-Based Extended Kalman Filtering with Quantization Effects: The Round-Robin Case 4. Recursive Set-Membership State Estimation over A FlexRay Network 5. Finite-Horizon H-infinite Filtering via a High-Rate Network with the FlexRay Protocol 6. On Quantized H-infinite Filtering for Multi-Rate Systems Under Stochastic Communication Protocols: The Finite-Horizon Case 7. Distributed Set-Membership Filtering for Multi-Rate Systems Under the Round-Robin Scheduling over Sensor Networks 8. Partial-Neurons-Based State Estimation for Delayed Neural Networks with State-Dependent Noises under Redundant Channels 9. Dynamic Event-Based State Estimation for Delayed Artificial Neural Networks with Multiplicative Noises: A Gain-Scheduled Approach 10. Conclusions and Future Topics
About the Author :
Shuai Liu received the B.Sc. degree in mathematics and applied mathematics from the Ludong University, Yantai, China, in 2011, the M.Sc. degree in mathematics and applied mathematics from the University of Shanghai for Science and Technology, Shanghai, China, in 2014, and the Ph.D. degree in system analysis and integration from the University of Shanghai for Science and Technology, Shanghai, China, in 2018. From Jan. 2017 to Nov. 2018, she was a visiting Ph.D. student with the Department of Computer Science, Brunel University London, Uxbridge, U.K. From Jun. 2018 to Aug. 2021, she was a Post-Doctoral Research Fellow with the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. She is currently an Associate Research Professor with the College of Science, University of Shanghai for Science and Technology, Shanghai, China. She has authored or coauthored more than 30 papers in refereed international journals. Her current research interests include sensor networks, complex networks, information fusion, as well as data security and privacy protection. Dr. Liu was the recipient of the National Postdoctoral Innovative Talent Scholars of China. She is currently a reviewer for some international journals.
Zidong Wang is a 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. ProfessorWang 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.
Guoliang Wei received the B.Sc. degree in mathematics from Henan Normal University, Xinxiang, China, in 1997, and the M.Sc. degree in applied mathematics and the Ph.D. degree in control engineering from Donghua University, Shanghai, China, in 2005 and 2008, respectively. He is currently a Professor with the Business School, University of Shanghai for Science and Technology, Shanghai, China. From March 2010 to May 2011, he was an Alexander von Humboldt Research Fellow with the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. From March 2009 to February 2010, he was a Postdoctoral Research Fellow with the Department of Information Systems and Computing, Brunel University, Uxbridge, U.K., sponsored by the Leverhulme Trust of the U.K. From June 2007 to August 2007, he was a Research Assistant with the University of Hong Kong, Hong Kong. From March 2008 to May 2008, he was a Research Assistant with the City University of Hong Kong, Hong Kong. He has published more than 100 papers in refereed international journals. His research interests include nonlinear systems, stochastic systems, and bioinformatics. Prof. Wei is a very active reviewer for many international journals.
