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Titre :
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Design of a hybrid stable adaptive fuzzy controller employing Lyapunov theory and harmony search algorithm (2011)
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Auteurs :
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Kaushik Das Sharma, Auteur ;
Amitava Chatterjee, Auteur ;
Anjan Rakshit, Auteur
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Type de document :
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Article : texte imprimé
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Dans :
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IEEE Transactions on control systems technology (Vol. 18 N° 6, Novembre 2010)
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Article en page(s) :
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pp. 1440-1447
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Note générale :
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Génie Aéropatial
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Langues :
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Anglais
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Index. décimale :
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629.1
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Tags :
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Adaptive fuzzy logic controllers (AFLCs) Harmony search algorithm Hybrid approaches Lyapunov theory Stochastic optimization
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Résumé :
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This brief proposes hybrid stable adaptive fuzzy controller design procedures utilizing the conventional Lyapunov theory and, the relatively newly devised harmony search (HS) algorithm-based stochastic approach. The objective is to design a self-adaptive fuzzy controller, optimizing both its structures and free parameters, such that the designed controller can guarantee desired stability and simultaneously it can provide satisfactory performance with a high degree of automation in the design process. Two different variants of the hybrid controller are proposed in this work. These variants are implemented for a benchmark simulation case study and real-life experimentation. The results obtained demonstrate the usefulness of the proposed approach.
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DEWEY :
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629.1
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ISSN :
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1063-6536
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En ligne :
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http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5395645
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