Fault-Tolerant Control for Stochastic Switched IT2 Fuzzy Uncertain Time-Delayed Nonlinear Systems

This article devotes to solve the fault-tolerant control problem based on interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy stochastic switched uncertain time-delayed systems with signal quantization. Stochastic switched systems can model a dynamic structure susceptible to abrupt faults, making it more practically significant in power systems or economic systems. The core design is an observer-based fault-tolerant control scheme that can estimate incomplete measurable variables and eliminate the influence of fault dynamically well and enhancing the robust stability of the systems subject to quantization effects. A novel method in seeking the upper bound solution of time-varying delay efficiently decreases conservativeness, especially for the proposed time-delayed system. The simulated analysis is specified to verify the availability and validity of the obtained design method.

Automated summary

This article solves the fault-tolerant control problem of uncertain time-delayed systems with signal quantization. It proposes an observer-based scheme that enhances the robust stability of the systems and can estimate incomplete measurable variables. The article also introduces a novel method for efficiently seeking the upper bound solution of time-varying delay, reducing conservativeness. The effectiveness of the design method is verified through simulated analysis.