Fei Siang Tay

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This paper proposes a novel sliding mode based learning control for a class of interconnected systems. The Takagi-Sugeno (T-S) fuzzy modelling technique has been employed to model the interconnected subsystems. Then, based on the fuzzy models, sliding mode learning controllers have been developed to ensure that the closed-loop system is globally(More)
In this paper, a robust learning control is developed for a class of single input single output (SISO) nonlinear systems with T-S fuzzy model. It is seen that the proposed sliding mode learning control with the powerful Lipshitz-like condition can guarantee the stability, convergence and robustness of the closed-loop system without involving any assumptions(More)
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