
Data-Rate-Constrained State Estimation and Control of Complex Networked Systems
CRC Press
1st Edition
Published on 29. November 2024
Book
Hardback
226 pages
978-1-032-64542-1 (ISBN)
Description
This book presents research developments and novel methodologies on data-rate-constrained control and state estimation for complex networked systems with different kinds of encoding-decoding mechanisms. It describes framework of state estimator and controller design, stability and performance analysis for data-rate constrained complex systems with various kinds of encoding-decoding schemes and so forth. Simulations given in this book are constructed by applying MATLAB (R) software package.
Features:
Gives a systematic investigation of the control and state estimation for complex networked systems subject to the data rate constraint.
Develops control/filtering algorithms in a unified framework.
Includes comparisons for different coding-decoding techniques proposed.
Discusses theoretical value and practical application for the resource-constrained communication environment.
Provides performance analysis as well as the parameterizations of filters and FD units.
This book is aimed at researchers and graduate students in electrical engineering, signal processing, control systems and complex networks.
Features:
Gives a systematic investigation of the control and state estimation for complex networked systems subject to the data rate constraint.
Develops control/filtering algorithms in a unified framework.
Includes comparisons for different coding-decoding techniques proposed.
Discusses theoretical value and practical application for the resource-constrained communication environment.
Provides performance analysis as well as the parameterizations of filters and FD units.
This book is aimed at researchers and graduate students in electrical engineering, signal processing, control systems and complex networks.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
62 farbige Abbildungen, 3 s/w Tabellen, 62 farbige Zeichnungen
3 Tables, black and white; 62 Line drawings, color; 62 Illustrations, color
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 18 mm
Weight
540 gr
ISBN-13
978-1-032-64542-1 (9781032645421)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Licheng Wang | Zidong Wang | Guoliang Wei
Data-Rate-Constrained State Estimation and Control of Complex Networked Systems
Book
approx. 07/2026
1st Edition
CRC Press
€66.00
Not yet published

Licheng Wang | Zidong Wang | Guoliang Wei
Data-Rate-Constrained State Estimation and Control of Complex Networked Systems
E-Book
11/2024
1st Edition
CRC Press
€73.99
Available for download

Licheng Wang | Zidong Wang | Guoliang Wei
Data-Rate-Constrained State Estimation and Control of Complex Networked Systems
E-Book
11/2024
1st Edition
CRC Press
€73.99
Available for download
Persons
Licheng Wang was a visiting Ph.D. student in the Department of Electronic and Computer Engineering at Brunel University London in the UK. From Apr. 2019 to Jun. 2022, he was a Post-Doctoral Research Fellow with the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. He is currently with the College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China. His research interests include nonlinear stochastic control and filtering, as well as complex networks and sensor networks.
Zidong Wang is a Professor of Dynamical Systems and Computing at Brunel University London, West London, United Kingdom. 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.
Guoliang Wei 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. He has published more than 100 papers in refereed international journals. His research interests include nonlinear systems, stochastic systems, and bioinformatics.
Zidong Wang is a Professor of Dynamical Systems and Computing at Brunel University London, West London, United Kingdom. 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.
Guoliang Wei 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. He has published more than 100 papers in refereed international journals. His research interests include nonlinear systems, stochastic systems, and bioinformatics.
Author
Shanghai Uni of Elec Power, China
Brunel Univ, UK
Univof Shanghai for Sci & Tech, China
Content
1. Introduction 2. Gain-Scheduled State Estimation for Discrete-Time Complex Networks Under Bit-Rate Constraints 3. Partial-Neurons-Based State Estimation For Artificial Neural Networks Under Constrained Bit Rate: The Finite-Time Case 4. Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding-Decoding-Based Approach 5. Observer-Based Consensus Control for Discrete-Time Multi- Agent Systems with Coding-Decoding Communication Protocol 6. Recursive Filtering with Measurement Fading: A Multiple Description Coding Scheme 7. Stabilization of Linear Discrete-Time Systems Over Resource-Constrained Networks Under Dynamical Multiple Description Coding Scheme 8. An Event-Triggered Encoding Approach to Control of Linear Systems under Bit Rate Conditions 9. Event-Based State Estimation under Constrained Bit Rate: An Encoding-Decoding Approach 10. Conclusions and Future Topics