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This paper presents an adaptive variable structure controller with on-line identification of the upper bounds of uncertainties and disturbance for MEMS triaxial angular sensors device that is able to detect rotation in three orthogonal axes, using a single vibrating mass. An adaptive robust sliding mode controller is developed and the stability of the closed-loop system can be guaranteed with the...
A higher order sliding mode control with self-tuning law algorithm is proposed for a class of uncertain nonlinear systems. This problem can be viewed as the finite time stabilization of a higher order dynamic system with unknown but bounded system uncertainties. An adaptation tuning approach without high frequency switching is developed based on geometric homogeneity and sliding mode control. The...
Considering the influence of uncertainty as unknown nonlinearity, parameters perturbation and random waves disturbance to the fin stabilizer system during ship sailing in heavy sea, the random wave model is built and a robust controller based on adaptive backstepping, sliding mode and RBF neural network is proposed. Adaptive backstepping and sliding mode control is the main controller and RBF neural...
Based on the previous studies, the dynamic balance of an electrical bicycle includes two control inputs: steering and pendulum torques, and three system outputs: steering, lean and pendulum angles. Two novel reference signals are first designed so that the uncontrolled mode is simultaneously included into these two control modes. Two scaling factors for each subsystem are first employed to normalize...
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...
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