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- W2055543955 abstract "Adaptive minimum variance control for stochastic T-S fuzzy ARMAX model is addressed in this study. From the fuzzy ARMAX model, a fuzzy one-step ahead prediction model is first introduced. A stochastic gradient algorithm is then proposed to identify the parameters of the related one-step-ahead predictor. Under the direct adaptive control scheme, minimum variance control is applied to find the control law to make the output track a desired reference signal. Stability and performance of the adaptive stochastic fuzzy control system are rigorously derived. Simulation study is also made to verify the developed results." @default.
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- W2055543955 date "2008-07-01" @default.
- W2055543955 modified "2023-09-23" @default.
- W2055543955 title "Adaptive minimum variance control for stochastic fuzzy T-S ARMAX model" @default.
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- W2055543955 doi "https://doi.org/10.1109/icmlc.2008.4621069" @default.
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