Chemical Optimization Algorithm for Fuzzy Controller Design

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Beschreibung

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.



Presents a Chemical Optimization Algorithm for Fuzzy Controller Design

The novel algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm

Includes an application to a 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



Inhalt

Introduction.-

Theory and Background.-

Chemical Definitions.-

The Proposed Chemical Reaction Algorithm.-

Application Problems.-

Simulation Results.-

Conclusions.

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Produktinformationen

Titel
Chemical Optimization Algorithm for Fuzzy Controller Design
Autor
EAN
9783319052441
ISBN
978-3-319-05244-1
Format
Kartonierter Einband
Herausgeber
Springer, Berlin
Genre
Technik
Anzahl Seiten
77
Größe
H7mm x B237mm x T157mm
Jahr
2014
Untertitel
Englisch
Auflage
2014
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