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Based on a creative sliding mode prediction model, a novel sliding mode observer (SMO) design method for discrete-time nonlinear uncertain systems is presented in this paper. By combining feedback correction approach, the observer states can close to system states as exactly as possible, and chattering is eliminate simultaneously. Because of the employing of receding horizon optimization technique,...
Predictive control strategy is employed to improve the performance of sliding mode control method in this paper. A multi-step sliding mode prediction model (MSMPM) is constructed at first. The MSMPM includes the function of compensating for system parameter perturbation and external disturbance. Based on the MSMPM and applied receding horizon optimization, a novel sliding mode control law for a class...
Sliding mode-like fuzzy logic control (SMFC) algorithm for nonlinear systems is presented in this paper. Firstly dead zone parameters of sliding mode control (SMC) are self-tuned by proper adaptive laws and then combined into fuzzy logic system (FLS) to compose the opportune fuzzy logic control (FLC), which is equivalent to the pre-designed SMC controller with self-tuning parameters. Robustness and...
In this paper, a novel discrete variable structure control strategy based on sliding mode prediction for a class of nonlinear systems is presented. By introducing a sliding mode prediction model, the trajectory of the sliding mode follows the expected track of the proposed reaching law exactly. Simultaneously, the corresponding variable structure control law which realized receding horizon optimization...
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