Adaptive Fault‐Tolerant Control for Stochastic Nonlinear Systems With Unknown Output Dead‐Zones

The present paper investigates the fault‐tolerant control problem for nonlinear systems with stochastic noise and dead‐zone output. In contrast to the extant literature, the present work effectively compensates for the impact of unknown dead‐zone output on the system by constructing a dead‐zone output approximation model and introducing a Nussbaum‐type function. Furthermore, considering the multiple effects of stochastic noise and actuator faults, this paper employs a fault‐tolerant control strategy to reduce the risk of system performance degradation and ensure system safety. On this basis, an efficient and readily deployable fault‐tolerant control scheme is proposed through further integration of adaptive techniques and fuzzy logic systems. The stability of the system is thoroughly analyzed by constructing a Lyapunov function and incorporating desired performance criteria, which proves the stability of the proposed control scheme. The efficacy and practicability of the proposed control scheme are substantiated by two simulation illustrations.