title: A novel adaptive switching function on fault tolerable sliding mode control for uncertain stochastic systems.
abstract: A novel switching function based on an optimization strategy for the sliding mode control (SMC) method has been provided for uncertain stochastic systems subject to actuator degradation such that the closed-loop system is globally asymptotically stable with probability one. In the previous researches the focus on sliding surface has been on proportional or proportional-integral function of states. In this research, from a degree of freedom that depends on designer choice is used to meet certain objectives. In the design of the switching function, there is a parameter which the designer can regulate for specified objectives. A sliding-mode controller is synthesized to ensure the reachability of the specified switching surface, despite actuator degradation and uncertainties. Finally, the simulation results demonstrate the effectiveness of the proposed method.
authors: Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran. Electronic address: ali.zahiri85@yahoo.com.
authors: Seyed Ali
authors: SA
authors: Zahiripour
authors: Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
authors: Ali Akbar
authors: AA
authors: Jalali
keywords: Actuator degradation; Adaptive sliding-surface; Optimization strategy; Uncertain stochastic system