
Data-Rate-Constrained State Estimation and Control of Complex Networked Systems
Description
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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.
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Persons
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.
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