Networked Control Systems: Theory and Applications
Editat de Feiyue Wang, Derong Liuen Limba Engleză Paperback – 13 oct 2010
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.
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| SPRINGER LONDON – 13 oct 2010 | 635.64 lei 6-8 săpt. | |
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| SPRINGER LONDON – 6 iun 2008 | 641.95 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781849967563
ISBN-10: 1849967563
Pagini: 364
Ilustrații: XVIII, 344 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:Softcover reprint of hardcover 1st ed. 2008
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom
ISBN-10: 1849967563
Pagini: 364
Ilustrații: XVIII, 344 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:Softcover reprint of hardcover 1st ed. 2008
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom
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Public țintă
ResearchCuprins
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.
Notă biografică
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
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
Textul de pe ultima copertă
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.
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.
Caracteristici
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