@inproceedings{09dab5871b3a4be99aead8c4a0aeb596,
title = "Multivariable adaptive output tracking control of T-S fuzzy systems",
abstract = "This paper presents a new study on adaptive output tracking control of multi-input multi-output (MIMO) T-S fuzzy system models in general non-canonical forms. Unlike canonical-form nonlinear systems whose T-S fuzzy system models have explicit relative degrees which can be directly used for deriving parametrized adaptive controllers, T-S fuzzy approximation models of non-canonical nonlinear systems generally have implicit relative degrees. For the design of adaptive feedback linearization based control to deal with system parameter uncertainties, the system dynamics of non-canonical form T-S fuzzy systems need to be reparametrized. This paper shows how to conduct a reparametrization based on relative degrees for general uncertain MIMO T-S fuzzy system models and how to derive feedback linearization based controller and its adaptive version which guarantees closed-loop stability and asymptotic output tracking. An illustrative example is presented to show the control design procedure and verify the effectiveness of the proposed control design method.",
keywords = "Adaptation models, Adaptive systems, Control design, Fuzzy systems, MIMO, Nonlinear systems",
author = "Yanjun Zhang and Gang Tao and Mou Chen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 54th IEEE Conference on Decision and Control, CDC 2015 ; Conference date: 15-12-2015 Through 18-12-2015",
year = "2015",
month = feb,
day = "8",
doi = "10.1109/CDC.2015.7403209",
language = "English",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6288--6293",
booktitle = "54rd IEEE Conference on Decision and Control,CDC 2015",
address = "United States",
}