Chemical Optimization Algorithm for Fuzzy Controller Design [[electronic resource] /] / by Leslie Astudillo, Patricia Melin, Oscar Castillo
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| Autore: |
Astudillo Leslie
|
| Titolo: |
Chemical Optimization Algorithm for Fuzzy Controller Design [[electronic resource] /] / by Leslie Astudillo, Patricia Melin, Oscar Castillo
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Edizione: | 1st ed. 2014. |
| Descrizione fisica: | 1 online resource (81 p.) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Control engineering | |
| Chemistry, Physical and theoretical | |
| Robotics | |
| Automation | |
| Artificial intelligence | |
| Computational Intelligence | |
| Control and Systems Theory | |
| Theoretical and Computational Chemistry | |
| Robotics and Automation | |
| Artificial Intelligence | |
| Persona (resp. second.): | MelinPatricia |
| CastilloOscar | |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
| Nota di contenuto: | Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Chemical Optimization Algorithm for Fuzzy Controller Design |
| ISBN: | 3-319-05245-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299488103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computational Intelligence, . 2625-3704