Overview
- The first book on modeling, analysis and synthesis of interval type-2 TS fuzzy systems
- Develops a uniform accurate method which is capable of dealing with uncertainties existing in the membership functions
- Presents a systematic procedure of analysis and synthesis of the interval type-2 fuzzy systems with several system performance indexes
- Provides numerous simulation results for various examples, which fill certain gaps in this area of reach and may serve as benchmark solutions for the readers
- Extends the proposed method and corresponding formulations to static analysis
- Includes supplementary material: sn.pub/extras
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Table of contents (14 chapters)
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Front Matter
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Continuous-Time Systems
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Front Matter
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Discrete-Time Systems
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Front Matter
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Back Matter
Keywords
About this book
This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers.
Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.
Reviews
“This research monograph covers an important and timely topic of control of fuzzy model-based systems … . In summary, the book is a valuable addition to the collection of readings on fuzzy control engineering.” (Witold Pedrycz, zbMATH 1353.93003, 2017)
Authors and Affiliations
About the authors
Hongyi Li received B.S. and M.S. degrees in mathematics from Bohai University, Jinzhou, China, in 2006 and 2009, respectively, and the Ph.D. degree in intelligent control from the University of Portsmouth, Portsmouth, UK, in 2012. He is currently a Professor of the College of Engineering, Bohai University. He was a Research Associate with the Department of Mechanical Engineering, University of Hong Kong and Hong Kong Polytechnic University, from June 2010 to September 2010 and from September 2012 to December 2012, respectively.
His research interests include fuzzy control, robust control, and their applications. He is also an Associate Editor/Editorial Board member for several international journals, including Neurocomputing, Circuits, Systems, and Signal Processing, Shock and Vibration, etc.
Ligang Wu, Professor, Space Control and Inertial Technology Research Center, Harbin Institute of Technology.
Hak-Keung Lam, Professor, Department of Informatics, King's College London.
Yabin Gao, Student, Space Control and Inertial Technology Research Center, Harbin Institute of Technology.
Bibliographic Information
Book Title: Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems
Authors: Hongyi Li, Ligang Wu, Hak-Keung Lam, Yabin Gao
DOI: https://doi.org/10.1007/978-981-10-0593-0
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Hardcover ISBN: 978-981-10-0592-3Published: 09 March 2016
Softcover ISBN: 978-981-10-9204-6Published: 25 April 2018
eBook ISBN: 978-981-10-0593-0Published: 29 February 2016
Edition Number: 1
Number of Pages: XIX, 257
Number of Illustrations: 5 b/w illustrations, 55 illustrations in colour
Topics: Computational Intelligence, Systems Theory, Control, Applications of Nonlinear Dynamics and Chaos Theory, Control and Systems Theory