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EBOOK
Author Castillo, Oscar.
Title Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control / Oscar Castillo, Patricia Ochoa, Jose Soria.
Imprint Cham : Springer, 2021.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Castillo, Oscar.
Series SpringerBriefs in applied sciences and technology, Computational intelligence
SpringerBriefs in applied sciences and technology. Computational intelligence.
Subject Fuzzy logic.
Evolution equations.
Alt Name Ochoa, Patricia.
Soria, José.
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Castillo, Oscar.
Series SpringerBriefs in applied sciences and technology, Computational intelligence
SpringerBriefs in applied sciences and technology. Computational intelligence.
Subject Fuzzy logic.
Evolution equations.
Alt Name Ochoa, Patricia.
Soria, José.
Description 1 online resource.
Contents Intro -- Preface -- Contents -- 1 Introduction -- References -- 2 Fuzzy Logic Systems -- References -- 3 Differential Evolution Algorithm -- 3.1 Population Structure -- 3.2 Initialization -- 3.3 Mutation -- 3.4 Crossover -- 3.5 Selection -- References -- 4 Proposed Method -- References -- 5 Case Studies -- 5.1 Water Tank Controller -- 5.2 Temperature Controller -- 5.3 Mobile Robot Controller -- 5.4 Inverted Pendulum Control -- 5.5 Experimentation with Control Problems Using a Fuzzy System One Input and One Output -- 5.6 Statistical Tests with Control Problems
5.7 D.C. Motor Speed Controller -- References -- 6 Conclusions -- Appendix -- Index
Summary 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.
Bibliography Note Includes bibliographical references and index.
ISBN 9783030621339 (electronic bk.)
3030621332 (electronic bk.)
3030621324
9783030621322
ISBN/ISSN 10.1007/978-3-030-62133-9
OCLC # 1224019548
Additional Format Original 3030621324 9783030621322 (OCoLC)1197851373



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