Castillo / Melin Type-3 Fuzzy Logic in Intelligent Control

1. Auflage 2023
ISBN: 978-3-031-46088-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 85 Seiten

Reihe: SpringerBriefs in Computational Intelligence

This book focuses on the field of type-3 fuzzy logic, also considering metaheuristics for applications in the control area. The main idea is that these areas together can solve various control problems and find better results. In this book, we test the proposed method using several benchmark problems, such as the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. We notice that when interval type-3 fuzzy systems are implemented to model the behavior of the systems, the results in control show a better stabilization, because the management of uncertainty is better. For this reason, we consider in this book the proposed method using type-3 fuzzy systems, fuzzy controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving problems in intelligent control.We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book

Zielgruppe

Research

Autoren/Hrsg.

Castillo, Oscar

Melin, Patricia

Inhaltsverzeichnis

Type-3 Fuzzy Control.- Type-3 Fuzzy Theory.- Review of Type-3 Fuzzy Control.- Approach for Type-3 Fuzzy Control.- Fuzzy Differential Evolution for Optimal Fuzzy Controller Parameterization.- Interval Type-3 Fuzzy Parameter Adaptation in Harmony Search Optimal Controller Design.- Conclusion of Interval Type-3 Fuzzy Control.