ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES
碩士 === 大同大學 === 電機工程研究所 === 88 === In this thesis, two robust adaptive fuzzy controllers for multi-input multi-output (MIMO) nonlinear systems and large-scale nonlinear systems with higher-order and unmatched uncertainties are developed. The design is based on the principle of robust control, input...
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ndltd-TW-088TTU004420192016-01-29T04:19:37Z http://ndltd.ncl.edu.tw/handle/77869028430388344917 ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES 具高階未匹配不確定性非線性系統之強健適應模糊控制器設計 Wen-Hao Wang 王文豪 碩士 大同大學 電機工程研究所 88 In this thesis, two robust adaptive fuzzy controllers for multi-input multi-output (MIMO) nonlinear systems and large-scale nonlinear systems with higher-order and unmatched uncertainties are developed. The design is based on the principle of robust control, input-output (I/O) linearizing controller, and the approximation capability of adaptive fuzzy systems. The adaptive fuzzy system incorporates human expert knowledge in the form of fuzzy rule ‘intelligence’ with conventional I/O linearizing controllers. Finally, the proposed controller is applied to practical systems. Computer simulation results confirm that the effect of both the fuzzy approximation error and unmatched uncertainties on the tracking error can be attenuated efficiently by the proposed method. Prof. Chiang-Cheng Chiang 江江盛 2000 學位論文 ; thesis 90 en_US |
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碩士 === 大同大學 === 電機工程研究所 === 88 === In this thesis, two robust adaptive fuzzy controllers for multi-input multi-output (MIMO) nonlinear systems and large-scale nonlinear systems with higher-order and unmatched uncertainties are developed. The design is based on the principle of robust control, input-output (I/O) linearizing controller, and the approximation capability of adaptive fuzzy systems. The adaptive fuzzy system incorporates human expert knowledge in the form of fuzzy rule ‘intelligence’ with conventional I/O linearizing controllers. Finally, the proposed controller is applied to practical systems. Computer simulation results confirm that the effect of both the fuzzy approximation error and unmatched uncertainties on the tracking error can be attenuated efficiently by the proposed method.
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Prof. Chiang-Cheng Chiang |
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Prof. Chiang-Cheng Chiang Wen-Hao Wang 王文豪 |
author |
Wen-Hao Wang 王文豪 |
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Wen-Hao Wang 王文豪 ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES |
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Wen-Hao Wang |
title |
ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES |
title_short |
ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES |
title_full |
ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES |
title_fullStr |
ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES |
title_full_unstemmed |
ROBUST ADAPTIVE FUZZY CONTROLLER FOR NONLINEAR SYSTEMS WITH HIGHER-ORDER AND UNMATCHED UNCERTAINTIES |
title_sort |
robust adaptive fuzzy controller for nonlinear systems with higher-order and unmatched uncertainties |
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2000 |
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http://ndltd.ncl.edu.tw/handle/77869028430388344917 |
work_keys_str_mv |
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