IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust adaptive sliding-mode control for fuzzy systems with mismatched uncertainties
IEEE Transactions on Fuzzy Systems
MIMO adaptive fuzzy terminal sliding-mode controller for robotic manipulators
Information Sciences: an International Journal
Adaptive sliding mode control with application to super-twist algorithm: Equivalent control method
Automatica (Journal of IFAC)
Simple model-free controller for the stabilization of planetary inverted pendulum
Journal of Control Science and Engineering
Adaptive neural complementary sliding-mode control via functional-linked wavelet neural network
Engineering Applications of Artificial Intelligence
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This correspondence proposes a systematic adaptive sliding- mode controller design for the robust control of nonlinear systems with uncertain parameters. An adaptation tuning approach without high- frequency switching is developed to deal with unknown but bounded system uncertainties. Tracking performance is guaranteed. System robustness, as well as stability, is proven by using the Lyapunov theory. The upper bounds of uncertainties are not required to be known in advance. Therefore, the proposed method can be effectively implemented. Experimental results demonstrate the effectiveness of the proposed control method.