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Differential Evolution Algorithm with Type2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control 1st Edition by Oscar Castillo, Patricia Ochoa, Jose Soria ISBN 9783030621339 3030621332

Name: Differential Evolution Algorithm with Type2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control 1st Edition by Oscar Castillo, Patricia Ochoa, Jose Soria ISBN 9783030621339 3030621332
SKU: EB-22496470
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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control Oscar Castillo Digital Instant Download

Author(s): Oscar Castillo, Patricia Ochoa, Jose Soria

ISBN(s): 9783030621322, 9783030621339, 3030621324, 3030621332

Edition: 1st ed.

File Details: PDF, 3.66 MB

Year: 2021

Language: English

SKU: EB-22496470 Category: Computers Tags: Jose Soria, Oscar Castillo, Patricia Ochoa

Description

Differential Evolution Algorithm with Type2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control 1st Edition by Oscar Castillo, Patricia Ochoa, Jose Soria – Ebook PDF Instant Download/Delivery: 9783030621339 ,3030621332
Full download Differential Evolution Algorithm with Type2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control 1st Edition after payment

Product details:
ISBN 10: 3030621332
ISBN 13: 9783030621339
Author: Oscar Castillo, Patricia Ochoa, Jose Soria

This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems.

Differential Evolution Algorithm with Type2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control 1st Edition Table of contents:

1. Introduction

2. Fuzzy Logic Systems

3. Differential Evolution Algorithm

4. Proposed Method

5. Case Studies

6. Conclusions

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