Wang / Liu Networked Control Systems

Theory and Applications
1. Auflage 2008
ISBN: 978-1-84800-215-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 344 Seiten

Networked control systems (NCS) confer advantages of cost reduction, system diagnosis and flexibility, minimizing wiring and simplifying the addition and replacement of individual elements; efficient data sharing makes taking globally intelligent control decisions easier with NCS. The applications of NCS range from the large scale of factory automation and plant monitoring to the smaller networks of computers in modern cars, places and autonomous robots. Networked Control Systems presents recent results in stability and robustness analysis and new developments related to networked fuzzy and optimal control. Many chapters contain case-studies, experimental, simulation or other application-related work showing how the theories put forward can be implemented. The state-of-the art research reported in this volume by an international team of contributors makes it an essential reference for researchers and postgraduate students in control, electrical, computer and mechanical engineering and computer science.

A list of the professional achievements of the Professor Derong Liu includes: Fellow of the IEEE (Institute of Electrical and Electronics Engineers), since 2005 AdCom Member (elected), IEEE Computational Intelligence Society, 2006-2009 Editor, IEEE Computational Intelligence Society Electronic Letter, 2004-present Letters Editor, IEEE Trans. on Neural Networks, 2006-present Associate Editor, Automatica, 2006-present Associate Editor, IEEE Computational Intelligence Magazine, 2006-present Associate Editor, IEEE Trans. on Neural Networks, 2004-2006 Associate Editor, IEEE Trans. on Signal Processing, 2001-2003 Associate Editor, IEEE Trans. on Circuits and Systems-I, 1997-1999 Member, Conference Editorial Board, IEEE Control Systems Society, 1995-2000 General Chair, IEEE International Conference on Networking, Sensing
and Control, Sanya, China, 2008 General Chair, 4th International Symposium on Neural Networks,Nanjing, China, 2007 Program Chair, International Joint Conference on Neural Networks, Hong Kong, 2008 Program Chair, IEEE International Symposium on Approximate Dynamic Programming and
Reinforcement Learning, Honolulu, Hawaii, 2007 Program Chair, 21st IEEE International Symposium on IntelligentControl, Munich, Germany, 2006 Program Chair, IEEE International Conference on Networking, Sensing and Control, Ft. Lauderdale, FL, 2006 University Scholar, University of Illinois, 2006-2009 CAREER Award, National Science Foundation, 1999 Harvey N. Davis Distinguished Teaching Award, Stevens Institute of Technology, 1997 Michael J. Birck Fellowship, University of Notre Dame, 1990 Listed in Who's Who in America Listed in Who's Who in Science and Engineering

Autoren/Hrsg.

Wang, Fei-Yue

Liu, Derong

Inhaltsverzeichnis

1;Preface;7
2;Contents;11
3;List of Contributors;17
4;1 Overview of Networked Control Systems;19
4.1;1.1 Introduction;19
4.2;1.2 NCS Categories and NCS Components;23
4.3;1.3 NCS Challenges and Solutions;28
4.4;1.4 A Case Study for NCS–iSpace;32
4.5;1.5 Conclusions;38
4.6;Acknowledgements;38
4.7;References;39
5;2 Overview of Agent-based Control and Management for NCS;43
5.1;2.1 Introduction;43
5.2;2.2 From Electricity to Connectivity: Why Agent-based Control and Management for Networked Systems;44
5.3;2.3 Hosting Mechanism and System Architecture for ABC;46
5.4;2.4 Design Principle for Networked Control Systems: Local Simple, Remote Complex ( LSRC);51
5.5;2.5 Modular Construction and Learning Algorithms of Neuro- fuzzy Networks for LSRC Implementation;53
5.6;2.6 Issues in Software, Middleware, and Hardware Platforms;64
5.7;2.7 Real-world Applications;68
5.8;2.8 Concluding Remarks and Future Work;69
5.9;Acknowledgements;70
5.10;References;71
6;3 Networked Control Systems: Emulation-based Design;75
6.1;3.1 Introduction;75
6.2;3.2 Overview of Emulation-based NCS Design;78
6.3;3.3 Modeling Networked Control Systems and Scheduling Protocols;83
6.4;3.4 NCS Stability;99
6.5;3.5 Case Studies and Comparisons;104
6.6;3.6 Conclusions;111
6.7;References;112
7;4 Analysis and Design of Networked Predictive Control Systems;113
7.1;4.1 Introduction;113
7.2;4.2 Networked Predictive Control;115
7.3;4.3 Stability of Networked Predictive Control Systems;120
7.4;4.4 Simulation of Networked Predictive Control Systems;124
7.5;4.5 Implementation of Networked Predictive Control Systems;129
7.6;4.6 Conclusions;136
7.7;Acknowledgements;136
7.8;References;136
8;5Robust H8 Control and Filtering ofNetworked Control Systems;139
8.1;5.1 Introduction;139
8.2;5.2 Robust H8 Control of NCS;141
8.3;5.3 Robust H8 Filter Design of NCS;154
8.4;5.4 Definition of .ij;165
8.5;5.5 Conclusions;167
8.6;References;168
9;6 Switched Feedback Control for Wireless Networked Systems;171
9.1;6.1 Introduction;171
9.2;6.2 Mathematical Modeling of NCS as a Switched System;173
9.3;6.3 Optimal Output Feedback Control;175
9.4;6.4 Experimental and Simulation Results;180
9.5;6.5 Conclusions;211
9.6;References;211
10;7 Networked Control for T–S Fuzzy Systems with Time Delay;215
10.1;7.1 Introduction;215
10.2;7.2 Guaranteed Cost Networked Control for T–S Fuzzy Systems with Time Delay;217
10.3;7.3 Simulation Results;232
10.4;7.4 Robust H8 Networked Control for T–S FuzzySystems with Time Delay;238
10.5;7.5 Simulation Results;246
10.6;7.6 Conclusions;249
10.7;References;249
11;8 A Discrete-time Jump Fuzzy System Approach to NCS Design;251
11.1;8.1 Introduction;251
11.2;8.2 Modeling NCS;253
11.3;8.3 State-feedback Controller Design;256
11.4;8.4 Output Feedback Controller Synthesis of an NCS;264
11.5;8.5 Neuro-fuzzy Controller Design;271
11.6;8.6 Conclusions;274
11.7;References;275
12;9 Networked Boundary Control of Damped Wave Equations;279
12.1;9.1 Introduction;279
12.2;9.2 A Brief Introduction to the Smith Predictor;280
12.3;9.3 Boundary Control of Damped Wave Equations with Large Delays;281
12.4;9.4 Stability and Robustness Analysis;283
12.5;9.5 Fractional Order Case – Problem Formulation;286
12.6;9.6 Fractional Order Case – Robustness of Boundary Stabilization;288
12.7;9.7 Fractional Order Case – Compensation of Large Delays in Boundary Measurement;289
12.8;9.8 Conclusions;290
12.9;Acknowledgement;290
12.10;References;290
13;10 Coordination of Multi-agent Systems Using Adaptive Velocity Strategy;293
13.1;10.1 Introduction;293
13.2;10.2 The Constant Speed Vicsek Model;295
13.3;10.3 The Adaptive Velocity Model;296
13.4;10.4 Simulations and Discussions;299
13.5;10.5 Conclusions;306
13.6;Acknowledgements;308
13.7;References;308
14;11 Design of Robust Strictly Positive Real Transfer Functions;311
14.1;11.1 Introduction;311
14.2;11.2 De.nitions and Notation;312
14.3;11.3 Some Properties of SPR (WSPR) Regions;313
14.4;11.4 Characterization of SPR (WSPR) Regions;320
14.5;11.5 Robust SPR Synthesis: Intersection of WSPR Regions;325
14.6;11.6 Applications to Robust SPR Synthesis for Low- order Systems;328
14.7;11.7 Robust SPR Synthesis for Polynomial Segment of Arbitrary Order;342
14.8;11.8 Conclusions;355
14.9;References;356
15;Index;361