Fuzzy Modeling and Control. Methods, Applications and Research
β Scribed by Terrell Harvey, Dallas Mullins (eds.)
- Publisher
- Nova
- Year
- 2018
- Tongue
- English
- Leaves
- 166
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Contents......Page 3
Preface......Page 4
1 Fuzzy RANSAC Algorithm based on Reinforcement Learning......Page 7
Intro......Page 8
Robust Estimation Techniques......Page 9
Fuzzy RANSAC Algorithm based on Reinforcement Learning......Page 11
Experimental Results......Page 16
Refs......Page 27
2 Multivariable Fuzzy Hammerstein Model Identification from Evolving Data Clustering......Page 29
Intro......Page 30
State Space Hammerstein Modeling......Page 31
Computational Results......Page 41
Refs......Page 49
3 Neural Network Approach to fully Fuzzy Nonlinear Systems......Page 51
Intro......Page 52
Preliminaries......Page 53
Fuzzy Solution Estimation with NNs......Page 55
Applications......Page 62
Refs......Page 72
4 Evolving Method applied to Multivariable Fuzzy Modeling from Experimental Data......Page 75
Intro......Page 76
Evolving Fuzzy Takagi-Sugeno State Space Modeling......Page 77
Experimental Results......Page 85
Refs......Page 90
Biblio......Page 92
Related Publication......Page 163
Index......Page 164
π SIMILAR VOLUMES
<p>Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the autho
xxxii, 310 p. : 26 cm
<p><P>This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and disc
<p><P>This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and disc