Details
Chemical Optimization Algorithm for Fuzzy Controller Design
SpringerBriefs in Applied Sciences and Technology
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53,49 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 13.03.2014 |
| ISBN/EAN: | 9783319052458 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.</p><p>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.</p>
<p><b>Introduction.-</b></p><p><b>Theory and Background.-</b></p><p><b>Chemical Definitions.-</b></p><p><b>The Proposed Chemical Reaction Algorithm.-</b></p><p><b>Application Problems.-</b></p><p><b>Simulation Results.-</b></p><p><b>Conclusions.</b></p><p><b></b></p>
<p>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.</p><p>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</p>
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 Includes supplementary material: sn.pub/extras
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