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Design of model reference adaptive tracking controllers for uncertain dynamic systems

Based on Lyapunov theorem, two different types of control schemes for solving robust tracking problems are presented in this thesis. The first one is model reference adaptive sliding mode control, which is designed for a class of SISO LTI systems with relative degree one possessing additive and multiplicative unstructured uncertainties in the input and output channels. By introducing a perturbation estimation process embedded in the proposed control scheme, the chattering phenomenon can be reduced effectively since only the perturbation estimation error needs to be overcomed. The second one is optimal model reference adaptive control, which is designed for a class of multi-input systems with input non-linearity. These systems are subject to model uncertainties and time-varying delay.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0623100-134649
Date23 June 2000
CreatorsTeng, Chiu-Ju
ContributorsLi Lee, Cheng-Chih Kao, Chih-Chiang Cheng, Yuan-Liang Hsu
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623100-134649
Rightsunrestricted, Copyright information available at source archive

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