Discrete-Point-Sampling Output Feedback Control for T–S Fuzzy Delayed Systems With Stochastic Disturbance

This article is dedicated to studying the discrete time output sampling stabilization problem of T–S fuzzy (TSF) time-varying delay systems with stochastic disturbance and actuator saturation. Different from the existing sampling control that is converted to input time-delay type, the fuzzy sampling in this article is output sampling feedback control at discrete time points. More importantly, the proposed method eliminates the limitation of previous results on the relation between the magnitude of the time delay and the upper/lower bound of the sampling interval. Especially, based on the provided two different analysis methods of the multipiecewise time-dependent Lyapunov–Krasovskii functional and the multisegment time-dependent Lyapunov–Razumikhin function, which can effectively capture more dynamic characteristics of the target system and greatly reduce the conservatism of the relevant results. Finally, two practical models are provided to demonstrate the rationality and superiority of the developed approach.