Chemical Optimization Algorithm for Fuzzy Controller Design

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Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2014-03-13

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Description

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.
Pages
77 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2014-03-13
Marque
Springer
EAN papier
9783319052441
EAN EPUB
9783319052458

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
1556 Ko
Prix
52,74 €