Adaptive Fuzzy Decentralized Control for Stochastic Nonlinear Interconnected System With Nontriangular Structural Dynamic Uncertainties

In this article, we construct an adaptive fuzzy decentralized fault-tolerant control strategy for stochastic nonlinear interconnected system with nontriangular structural uncertainties, unmodeled dynamics, and actuator faults. During the controller design process, the difficultly of system controller design caused by nontriangular structural uncertainties that mixed unmodeled dynamics are handled by utilizing the variable separation technique and fuzzy logic system. Then, based on the adaptive compensation technique, a fault-tolerant controller is designed to solve the influence of actuator faults for system stability. Finally, the stability of the stochastic nonlinear interconnected system can be ensured by stochastic Lyapunov stability theory. In addition, numerical and practical simulations also illustrate the effectiveness of the proposed control strategy.