Chemical Optimization Algorithm for Fuzzy Controller Design

2014
ISBN: 978-3-319-05244-1
Verlag: Springer International Publishing

Buch, Englisch, 77 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1474 g

Reihe: SpringerBriefs in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Astudillo, Leslie

Castillo, Oscar

Melin, Patricia

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme

Inhaltsverzeichnis

Introduction.-

Theory and Background.-

Chemical Definitions.-

The Proposed Chemical Reaction Algorithm.-

Application Problems.-

Simulation Results.-

Conclusions.