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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/2784

Título: Learning strategy for optimal fuzzy control
Autor: Salgado, Paulo
Igrejas, Getúlio
Palavras-chave: Fuzzy systems
Optimal
Issue Date: 2007
Citação: Salgado, Paulo; Igrejas, Getúlio (2007) - Learning strategy for optimal fuzzy control. In IEEE International Symposium on on Industrial Electronics. Vigo
Resumo: In this paper, a new scheme of fuzzy optimal control for discrete-time nonlinear systems based on the Pontryagin’s Minimum Principle is proposed. Using back propagation from the final co-state error and gradient descent, a method which allows training an adaptive fuzzy inference system to estimate values for the co-state variables converging to the optimal ones is devised. This approach allows finding a solution to the optimal control problem on-line by training the system, rather than by pre-computing it. Finally, this optimal approach is applied to nonlinear control benchmark problems. The results demonstrate the effectiveness of the approach towards achieving the optimal control objective.
URI: http://hdl.handle.net/10198/2784
Appears in Collections:DE - Artigos em Proceedings Não Indexados ao ISI/Scopus

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