Chemical Optimization Algorithm for Fuzzy Controller Design

Leslie Astudillo

ISBN 10: 3319052446 / ISBN 13: 9783319052441

Verlag: Springer International Publishing, Springer International Publishing, 2014

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.

Bestandsnummer des Verkäufers 9783319052441

Bibliografische Details

• Titel: Chemical Optimization Algorithm for Fuzzy Controller Design
• Verlag: Springer International Publishing, Springer International Publishing
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 3319052446
• ISBN-13: 9783319052441
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 6 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 6 mm
• Gewicht: 149 Gramm

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Inhaltsangabe

In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.

This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.