Electronic Resource

Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001132	EB0001738	511.313 Cas d	Central Library (OPAC)	Available

Detail Information

Series Title

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Call Number

511.313 Cas d

Publisher

Switzerland : Springer Cham., 2020

Collation

VII, 61p.:Ill

Language

English

ISBN/ISSN

978-3-030-62133-9

Classification

511.313

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Evolution Equations

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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