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Adaptive Sliding Mode Control of Switched Systems with Different Input Matrix
Deyin Yao,Renquan Lu,Yong Xu,Hongyi Li 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6
This paper investigates the sliding mode control (SMC) problem for switched systems. The parameteruncertainties are norm-bounded, and the upper bound of the nonlinear term and the loss of effectiveness of actuatorfaults are unknown. A novel adaptive sliding mode controller is constructed such that the influences of actuatorfaults and unknown nonlinearity can be effectively attenuated and the state variables can reach the predefinedcommon sliding surface. Based on average dwell time strategy, the exponential stability condition of the switchedsystems is obtained. Finally, simulation results are presented to show the effectiveness of the proposed techniques.
Wenshuai Lin,Xiaomeng Li,Deyin Yao,Xiaobin Gao,Qi Zhou 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.7
This paper investigates the event-triggered sliding mode control problem for discrete-time Markov jumpsystems under the unavailable states and partially unknown transition probabilities. To save the limited computational source, an event-triggered scheme is implemented to determine whether the current data should be sentor not, and an observer is constructed to estimate the unmeasurable states of the system. Then, on the basis ofthe Lyapunov functional technique, the sufficient conditions of stochastic stability for the closed-loop system arederived. Moreover, the sliding mode controller based on event-triggered mechanism is designed to ensure that thestate trajectories of the closed-loop system can be driven onto the predefined sliding manifold and maintain therefor all subsequent time. Finally, a numerical example is utilized to demonstrate the effectiveness of the proposedmethod.