Networked Control Systems (eBook, PDF)

Theory and Applications
Redaktion: Wang, Fei-Yue; Liu, Derong

• Format: PDF

Produktbeschreibung

Networked control systems (NCS) consist of sensors, actuators and controllers the operations of which may be distributed over geographically disparate locations and coordinated by the exchange of information passed over a communication network. The communication network may be physically wired or not. The widespread applications of the Internet have been a major driving force for research and development of NCS. NCS have advantages in terms of cost reduction, system diagnosis and flexibility, minimizing wiring and making the addition and replacement of individual elements relatively simple; efficient data sharing makes taking globally intelligent control decisions easier with an NCS.

The applications of NCS are very wide, from the large scale of factory automation and plant monitoring to the smaller but complicated networks of computers in modern cars, places and autonomous robots.

Networked Control Systems presents the most recent results in stability and robustness analysis as well as new developments related to networked fuzzy and optimal control. Many of the chapters contain details of case-studies, experimental, simulation and/or other application-related work showing how the theories put forward can be implemented in real systems.

The state-of-the art research reported in this volume by an international team of contributors will make Networked Control Systems an essential reference for researchers and postgraduate students in control, electrical, computer and mechanical engineering and computer science.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 344
• Erscheinungstermin: 17. Juni 2008
• Englisch
• ISBN-13: 9781848002159
• Artikelnr.: 37349503

Autorenporträt

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

Inhaltsangabe

Overview of Networked Control Systems.- Overview of Agent-based Control and Management for NCS.- Networked Control Systems: Emulation-based Design.- Analysis and Design of Networked Predictive Control Systems.- Robust H ? Control and Filtering of Networked Control Systems.- Switched Feedback Control for Wireless Networked Systems.- Networked Control for T-S Fuzzy Systems with Time Delay.- A Discrete-time Jump Fuzzy System Approach to NCS Design.- Networked Boundary Control of Damped Wave Equations.- Coordination of Multi-agent Systems Using Adaptive Velocity Strategy.- Design of Robust Strictly Positive Real Transfer Functions.