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• W2050914595 abstract "This paper presents the design of an adaptive fuzzy sliding mode control (AFSMC) for uncertain discrete-time nonlinear dynamic systems. The dynamic systems are described by a discrete-time state equation with nonlinear uncertainties, and the uncertainties include the modelling errors and the external disturbances to be unknown but nonlinear with the bounded properties. The states are measured by the restriction of measurement sensors and the contamination with independent measurement noises. The nonlinear uncertainties are approximated by using the fuzzy IF-THEN rules based on the universal approximation theorem, and the approximation error is compensated by adding an adaptive complementary term to the proposed AFSMC. The fuzzy inference approach based on the extended single input rule modules is proposed to reduce the number of the fuzzy IF-THEN rules. The estimates for the un-measurable states and the adjustable parameters are obtained by using the weighted least squares estimator and its simplified one. It is proved that under some conditions the estimation errors will remain in the vicinity of zero as time increases, and the states are ultimately bounded subject to the proposed AFSMC. The effectiveness of the proposed method is indicated through the simulation experiment of a simple numerical system." @default.
• W2050914595 created "2016-06-24" @default.
• W2050914595 creator A5080295889 @default.
• W2050914595 date "2014-03-04" @default.
• W2050914595 modified "2023-09-23" @default.
• W2050914595 title "Design of an adaptive fuzzy sliding mode control for uncertain discrete-time nonlinear systems based on noisy measurements" @default.
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• W2050914595 doi "https://doi.org/10.1080/00207721.2014.891776" @default.
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