Filtering and Control of Wireless Networked Systems

by Dan Zhang, Qing-Guo Wang, Li Yu

Overview

This self-contained book, written by leading experts, offers a cutting-edge, in-depth overview of the filtering and control of wireless networked systems. It addresses the energy constraint and filter/controller gain variation problems, and presents both the centralized and the distributed solutions. The first two chapters provide an introduction to networked control systems and basic information on system analysis. Chapters (3–6) then discuss the centralized filtering of wireless networked systems, presenting different approaches to deal with energy efficiency and filter/controller gain variation problems. The next part (chapters 7–10) explores the distributed filtering of wireless networked systems, addressing the main problems of energy constraint and filter gain variation. The final part (chapters 11–14) focuses on the distributed control of wireless networked systems.

In view of the rapid deployment and development of wireless networked systems for communication and control applications, the book represents a timely contribution and provides valuable insights, useful methods and effective algorithms for the analysis and design of wireless networked control systems. It is a valuable resource for researchers in the control and communication communities

Product Details

ISBN-13:	9783319531229
Publisher:	Springer International Publishing
Publication date:	03/15/2017
Series:	Studies in Systems, Decision and Control , #97
Edition description:	1st ed. 2017
Pages:	232
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Fundamentals.- H∞ filtering with time-varying transmissions.- H∞ filtering with energy constraint and shastic gain variations.- H∞ Filtering with Shastic Signal Transmissions.- H∞ filtering with shastic sampling and measurement size reduction.- Distributed filtering with communication reduction.- Distributed filtering with shastic sampling.- Distributed filtering with random filter gain variations.- Distributed filtering with measurement size reduction and filter gain variations.- Distributed control with controller gain variations.- Distributed control with measurement size reduction and random fault.- Distributed control with communication reduction.- Distributed control with event-based communication and topology switching