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Filtering and Control of Wireless Networked Systems

:	Dan Zhang, Qing-Guo Wang, Li Yu
:	Filtering and Control of Wireless Networked Systems
:	Springer-Verlag
:	9783319531236
:	1
:	CHF 85.90
:

:	Elektronik, Elektrotechnik, Nachrichtentechnik
:	English

:	236
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

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

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	Preface	6
	Contents	8
	Symbols and Notations	11
	1 Introduction	12
	1.1 Networked Control Systems	12
	1.2 Signal Sampling	14
	1.3 Signal Quantization	18
	1.4 Communication Delay	21
	1.5 Packet Dropouts	25
	1.6 Medium Access Constraint	29
	1.7 Wireless Communication	31
	1.8 Oview of the Book	33
	References	35
	2 Fundamentals	41
	2.1 Mathematical Preliminaries	41
	2.2 LTI Systems	42
	2.3 Markovian Jump Systems	45
	2.4 Switched Systems	50
	2.5 Linear Matrix Inequalities	54
	References	58
	3 Hinfty Filtering with Time-Varying Transmissions	60
	3.1 Introduction	60
	3.2 Problem Statement	60
	3.3 Filter Analysis and Design	65
	3.4 Illustrative Examples	71
	3.5 Conclusions	75
	References	76
	4 Hinfty Filtering with Energy Constraint and Stochastic Gain Variations	77
	4.1 Introduction	77
	4.2 Problem Formulation	77
	4.3 Filter Analysis and Design	80
	4.4 An Illustrative Example	86
	4.5 Conclusions	89
	References	89
	5 Hinfty Filtering with Stochastic Signal Transmissions	90
	5.1 Introduction	90
	5.2 Problem Formulation	90
	5.3 Filter Analysis and Design	94
	5.4 An Illustrative Example	98
	5.5 Conclusions	102
	References	103
	6 Hinfty Filtering with Stochastic Sampling and Measurement Size Reduction	104
	6.1 Introduction	104
	6.2 Problem Formulation	104
	6.3 Filter Analysis and Design	108
	6.4 An Illustrative Example	113
	6.5 Conclusions	116
	7 Distributed Filtering with Communication Reduction	117
	7.1 Introduction	117
	7.2 Problem Formulation	118
	7.3 Filter Analysis and Design	122
	7.4 An Illustrative Example	128
	7.5 Conclusions	133
	References	134
	8 Distributed Filtering with Stochastic Sampling	135
	8.1 Introduction	135
	8.2 Problem Formulation	135
	8.3 Filter Analysis and Design	139
	8.4 A Simulation Example	144
	8.5 Conclusions	147
	9 Distributed Filtering with Random Filter Gain Variations	148
	9.1 Introduction	148
	9.2 Problem Formulation	149
	9.3 Filter Analysis and Design	152
	9.4 A Simulation Example	156
	9.5 Conclusions	159
	References	159
	10 Distributed Filtering with Measurement Size Reduction and Filter Gain Variations	160
	10.1 Introduction	160
	10.2 Problem Statement	160
	10.3 Filter Analysis and Design	164
	10.4 An Illustrative Example	169
	10.5 Conclusions	173
	11 Distributed Control with Controller Gain Variations	174
	11.1 Introduction	174
	11.2 Problem Formulation	174
	11.3 Main Results	177
	11.4 An Illustrative Example	180
	11.5 Conclusions	184
	References	184
	12 Distributed Control with Measurement Size Reduction and Random Fault	185
	12.1 Introduction	185
	12.2 Problem Formulation	185
	12.3 Main Results	188
	12.4 An Illustrative Example	194
	12.5 Conclusions	202
	References	202
	13 Distributed Control with Communication Reduction	203
	13.1 Introduction	203
	13.2 Problem Formulation	203
	13.2.1 Sampling	205
	13.2.2 Measurement Size Reduction	206
	13.3 Main Results	208
	13.4 An Illustrative Example	213
	13.5 Conclusions	217
	14 Distributed Control with Event-Based Communication and Topology Switching	219
	14.1 Introduction	219
	14.2 Problem Formulation	220
	14.3 Main Results	224
	14.4 A Simulation Study	230
	14.5 Conclusions	236
	References	236