Discrete-Time Robust Fuzzy Adaptive Control

碩士 === 中華大學 === 電機工程學系(所) === 97 === Adaptive weighted 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 developed. A stochastic gradient algorithm is then proposed to identify the pa...

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Bibliographic Details
Main Authors:	Zih-Jian Chen, 陳子建
Other Authors:	Bore-Kuen Lee
Format:	Others
Language:	en_US
Published:	2009
Online Access:	http://ndltd.ncl.edu.tw/handle/37505234280100605254

id	ndltd-TW-097CHPI5442048
record_format	oai_dc
spelling	ndltd-TW-097CHPI54420482015-11-13T04:09:15Z http://ndltd.ncl.edu.tw/handle/37505234280100605254 Discrete-Time Robust Fuzzy Adaptive Control 離散時間的軔性模糊適應控制 Zih-Jian Chen 陳子建碩士中華大學電機工程學系(所) 97 Adaptive weighted 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 developed. A stochastic gradient algorithm is then proposed to identify the parameters of the related one-step-ahead predictor. Under the direct adaptive control scheme, weighted minimum variance control is applied to find the control law to make the output track a desired reference signal. Stability of the adaptive stochastic fuzzy control system is rigorously derived. Simulation study is also made to verify the developed results. Bore-Kuen Lee 李柏坤 2009 學位論文 ; thesis 61 en_US
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
description	碩士 === 中華大學 === 電機工程學系(所) === 97 === Adaptive weighted 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 developed. A stochastic gradient algorithm is then proposed to identify the parameters of the related one-step-ahead predictor. Under the direct adaptive control scheme, weighted minimum variance control is applied to find the control law to make the output track a desired reference signal. Stability of the adaptive stochastic fuzzy control system is rigorously derived. Simulation study is also made to verify the developed results.
author2	Bore-Kuen Lee
author_facet	Bore-Kuen Lee Zih-Jian Chen 陳子建
author	Zih-Jian Chen 陳子建
spellingShingle	Zih-Jian Chen 陳子建 Discrete-Time Robust Fuzzy Adaptive Control
author_sort	Zih-Jian Chen
title	Discrete-Time Robust Fuzzy Adaptive Control
title_short	Discrete-Time Robust Fuzzy Adaptive Control
title_full	Discrete-Time Robust Fuzzy Adaptive Control
title_fullStr	Discrete-Time Robust Fuzzy Adaptive Control
title_full_unstemmed	Discrete-Time Robust Fuzzy Adaptive Control
title_sort	discrete-time robust fuzzy adaptive control
publishDate	2009
url	http://ndltd.ncl.edu.tw/handle/37505234280100605254
work_keys_str_mv	AT zihjianchen discretetimerobustfuzzyadaptivecontrol AT chénzijiàn discretetimerobustfuzzyadaptivecontrol AT zihjianchen lísànshíjiānderènxìngmóhúshìyīngkòngzhì AT chénzijiàn lísànshíjiānderènxìngmóhúshìyīngkòngzhì
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Discrete-Time Robust Fuzzy Adaptive Control

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