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Engineering - Computational Intelligence and Complexity | Chemical Optimization Algorithm for Fuzzy Controller Design

Chemical Optimization Algorithm for Fuzzy Controller Design

Astudillo, Leslie, Melin, Patricia, Castillo, Oscar

2014, VIII, 77 p. 32 illus.

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  • About this book

  • 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

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

Content Level » Research

Keywords » Chemical Optimization Algorithm - Fuzzy Controller Design - Optimization Method - Torque Controller - Unicycle Mobile Robot

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Control Engineering - Robotics - Theoretical and Computational Chemistry

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