Analysis And Synthesis For Interval Type-2 Fuzzy-model-based Systems by Hongyi LiAnalysis And Synthesis For Interval Type-2 Fuzzy-model-based Systems by Hongyi Li

Analysis And Synthesis For Interval Type-2 Fuzzy-model-based Systems

byHongyi Li, Ligang Wu, Hak-Keung Lam

Hardcover | March 9, 2016

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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.

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 w...
Title:Analysis And Synthesis For Interval Type-2 Fuzzy-model-based SystemsFormat:HardcoverDimensions:257 pages, 23.5 × 15.5 × 0.25 inPublished:March 9, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9811005923

ISBN - 13:9789811005923

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Table of Contents

Introduction.- Stability and Stabilization of CTIT2FMBSs.- Output-feedback Control of CTIT2FMBSs.- Sampled-Data Control of CTIT2FMBSs.- Output Tracking Control of CTIT2FSs.- Switched Output-feedback Control of CTIT2FMBSs.- Filter Design of CTIT2FMBSs.- Fault Detection of CTIT2FMBSs.- Model Reduction of CTIT2FMBSs.- Optimal Control of DTIT2FMBSs.- State-feedback Control of DTIT2FMBSs.- Static Output-feedback Control of DTIT2FMBSs.- Guaranteed Cost Output Tracking Control of DTIT2FMBSs.

Editorial 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)