Networked Control Systems (eBook)

Theory and Applications

Fei-Yue Wang, Derong Liu (Herausgeber)

eBook Download: PDF

2008 | 2008
XVIII, 344 Seiten
Springer London (Verlag)
978-1-84800-215-9 (ISBN)

Infos

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

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 17.6.2008
• Zusatzinfo: XVIII, 344 p.
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Automation • Communication • Communication Networks • Complexity • Control • control engineering • embedded control systems • Fuzzy Control • Information • Networked control systems • optimal control • real-time control • robot • Robust Control • Sensor • Stability Analysis • Switch
• ISBN-10: 1-84800-215-7 / 1848002157
• ISBN-13: 978-1-84800-215-9 / 9781848002159