Editors:
- Reader will gain access to the most recent results in stability and robustness analysis as they pertain to networked systems as well as new developments related to networked fuzzy and optimal control
- More efficient networking control will make the readers' systems more flexible and cost-efficient
- Shows the reader how to take maximum advantage of ubiquitous Internet technologies for distributed plant control
- Includes supplementary material: sn.pub/extras
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Chinese Academy of Sciences, Beijing, P. R. China
Fei-Yue Wang
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Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA
Derong Liu
About the editors
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
Bibliographic Information
Book Title: Networked Control Systems
Book Subtitle: Theory and Applications
Editors: Fei-Yue Wang, Derong Liu
DOI: https://doi.org/10.1007/978-1-84800-215-9
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-214-2Published: 06 June 2008
Softcover ISBN: 978-1-84996-756-3Published: 13 October 2010
eBook ISBN: 978-1-84800-215-9Published: 17 June 2008
Edition Number: 1
Number of Pages: XVIII, 344
Topics: Computer Communication Networks, Systems Theory, Control, Communications Engineering, Networks, Control, Robotics, Mechatronics, Complexity