Fuzzy Modeling and Control. Methods, Applications and Research
β Scribed by Terrell Harvey, Dallas Mullins (Eds.)
- Publisher
- Nova
- Year
- 2018
- Tongue
- English
- Leaves
- 175
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Contents......Page 7
Preface......Page 9
Abstract......Page 13
Introduction......Page 14
LMedS Algorithm......Page 15
RANSAC Algorithm......Page 16
Fuzzy RANSAC Algorithm Based on the Reinforcement Learning Concept......Page 17
Basic Motivation......Page 18
Learning Concept......Page 19
Proposed Modeling Procedures......Page 21
Performance Evaluation of Proposed Algorithm......Page 22
Evaluation of Nonlinear Fuzzy Modeling......Page 23
Camera Homography Modeling......Page 29
Results Compared to Conventional RANSAC in Camera Homography Modeling......Page 31
Results Compared to LMedS in Camera Homography Modeling......Page 32
References......Page 33
Multivariable Fuzzy Hammerstein Model Identification from Evolving Data Clustering......Page 35
Neural Network Approach to Solving Fully Fuzzy Nonlinear Systems......Page 57
An Evolving Method Applied to the Multivariable Fuzzy Modeling from Experimental Data......Page 81
Bibliography......Page 99
Fuzzy Control Systems: Design, Analysis and Performance Evaluation......Page 171
Index......Page 173
Blank Page......Page 2
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