<P>Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques. However, because it is fundamentally model free, conventional FLC suffers from a lack of tools
Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems
β Scribed by Hongyi Li, Ligang Wu, Hak-Keung Lam, Yabin Gao (auth.)
- Publisher
- Springer Singapore
- Year
- 2016
- Tongue
- English
- Leaves
- 263
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages i-xix
Introduction....Pages 1-19
Front Matter....Pages 21-21
Stabilization of Interval Type-2 Fuzzy-Model-Based Systems....Pages 23-36
Output-Feedback Control of Interval Type-2 Fuzzy-Model-Based Systems....Pages 37-56
Sampled-Data Control of Interval Type-2 Fuzzy-Model-Based Systems....Pages 57-72
Output Tracking Control of Interval Type-2 Fuzzy-Model-Based Systems....Pages 73-89
Switched Control of Interval Type-2 Fuzzy-Model-Based Systems....Pages 91-107
Filter Design of Interval Type-2 Fuzzy-Model-Based Systems....Pages 109-121
Fault Detection of Interval Type-2 Fuzzy-Model-Based Systems....Pages 123-137
Model Reduction of Interval Type-2 Fuzzy-Model-Based Systems....Pages 139-152
Front Matter....Pages 153-153
Optimal Control of Interval Type-2 Fuzzy-Model-Based Systems....Pages 155-175
Fault-Tolerant Control of of Interval Type-2 Fuzzy-Model-Based Systems....Pages 177-199
Output-Feedback Control of Interval Type-2 Fuzzy-Model-Based Systems....Pages 201-221
Output Tracking Control of Interval Type-2 Fuzzy-Model-Based Systems....Pages 223-241
Conclusion and Further Work....Pages 243-246
Back Matter....Pages 247-257
β¦ Subjects
Computational Intelligence; Systems Theory, Control; Nonlinear Dynamics; Control
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