Optimal tracking design for stochastic fuzzy systems.

In general, fuzzy control design for stochastic nonlinear systems is still difficult since the fuzzy bases are stochastic so as to increase the difficulty and complexity of the fuzzy tracking control design. In this study, a fuzzy stochastic moving-average model with control input (fuzzy ARMAX model...

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Detalhes bibliográficos

Publicado no:	IEEE Transactions on fuzzy systems 11, 6 (2003).
Autor principal:	Bor-Sen Chen
Formato:	Artigo
Idioma:	English
Assuntos:	Fuzzy ARMAX model. Fuzzy one-step ahead prediction model. Fuzzy stochastic moving-average model. Fuzzy tracking control design. Generalized minimum variance tracking control. Nonlinear system. Optimal design algorithms. Optimal model reference tracking control. Optimal tracking. Optimal tracking design. Stability conditions. Stochastic fuzzy systems.