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Chemical Optimization Algorithm for Fuzzy Controller Design : SpringerBriefs in Applied Sciences and Technology - Leslie Astudillo

Chemical Optimization Algorithm for Fuzzy Controller Design

By: Leslie Astudillo, Patricia Melin, Oscar Castillo

eText | 13 March 2014

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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.

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Non-FictionEngineering & TechnologyTechnology in GeneralEngineering in GeneralComputing & I.T.Computer ScienceArtificial IntelligenceElectronics & Communications EngineeringElectronics EngineeringAutomatic Control EngineeringRoboticsScience
ChemistryPhysical ChemistryQuantum & Theoretical ChemistryEnergy Technology & EngineeringElectrical EngineeringReference, Information & Interdisciplinary SubjectsResearch & InformationInformation theoryCybernetics & Systems TheoryLibrary & Info SciencesLibrary & Information Services

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