Overview
- Provides cutting-edge research results of modelling, estimation and control of networked systems with constrainted networks
- Presents motivated simulation examples to reflect the engineering practice and demonstrate the main focus of the developed control/filtering approaches
- Covers the issues of constrained resources, including communication rate constraints, signal-to-noise constraints and channel fading
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 178)
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Table of contents (12 chapters)
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Front Matter
Keywords
About this book
- recursive Riccati equations;
- matrix decomposition;
- optimal estimation theory; and
- mathematical optimization methods.
Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
Reviews
Authors and Affiliations
About the authors
Zidong Wang was born in Jiangsu, China, in 1966. He received the B.Sc. degreein mathematics in 1986 from Suzhou University, Suzhou, China, and the M.Sc. degree in applied mathematics in 1990 and the Ph.D. degree in electrical engineering in 1994, both from Nanjing University of Science and Technology, Nanjing, China. He is currently Professor of Dynamical Systems and Computing in the Department of Information Systems and Computing, Brunel University London, U.K. From 1990 to 2002, he held teaching and research appointments in universities in China, Germany and the UK. Prof. Wang’s research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 400+ papers in refereed international journals with an h-index of 100. He is a holder of the Alexander von Humboldt Research Fellowship of Germany, the JSPS Research Fellowship of Japan, William Mong Visiting Research Fellowship of Hong Kong. Prof. Wang serves (or has served) as the Editor-in-Chief for Neurocomputing (Elsevier), Editor-in-Chief for Systems Science and Control Engineering (Taylor & Francis), Deputy Editor-in-Chief for International Journal of Systems Science (Taylor & Francis), and an Associate Editor for 12 international journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Neural Networks, IEEE Transactions on Signal Processing, and IEEE Transactions on Systems, Man, and Cybernetics - Part C. He is a Fellow of the IEEE, a Fellow of the Royal Statistical Society and a member of program committee for many international conferences.
Xiao He received the B.E. degree in information technology from the Beijing Institute of Technology, Beijing, China, in 2004, and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, in 2010. Currently, he is a tenure track Associate Professor with the Department of Automation, Tsinghua University. He has authored more than 40 papers in refereed international journals. His research interests include networked filter and control, and networked fault diagnosis and isolation and their application. Dr. He is now a Full Member of Sigma Xi, the Scientific Research Society, a Senior Member of Chinese Association of Automation (CAA).
Bibliographic Information
Book Title: Stochastic Control and Filtering over Constrained Communication Networks
Authors: Qinyuan Liu, Zidong Wang, Xiao He
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-00157-5
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-00156-8Published: 03 November 2018
Softcover ISBN: 978-3-030-13086-2Published: 10 December 2019
eBook ISBN: 978-3-030-00157-5Published: 24 October 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVII, 222
Number of Illustrations: 12 b/w illustrations, 39 illustrations in colour
Topics: Control and Systems Theory, Communications Engineering, Networks, Computer Communication Networks