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• W2288837413 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." @default.
• W2288837413 created "2016-06-24" @default.
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• W2288837413 creator A5024678101 @default.
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• W2288837413 date "2015-12-01" @default.
• W2288837413 modified "2023-09-26" @default.
• W2288837413 title "Multivariable adaptive output tracking control of T-S fuzzy systems" @default.
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• W2288837413 doi "https://doi.org/10.1109/cdc.2015.7403209" @default.
• W2288837413 hasPublicationYear "2015" @default.
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