Event-Triggered Finite-Time Stabilization of Delayed T–S Fuzzy Systems on Time Scales
研究了时间尺度上带有时滞的Takagi-Sugeno模糊系统的事件触发有限时间镇定问题，提出了不要求时滞可微的镇定判据和简单控制器，统一了连续与离散情形，并避免Zeno行为、节省通信资源。
In this article, the event-triggered finite-time stabilization of time-scale delayed Takagi-Sugeno (T-S) fuzzy systems is studied. By comparing strategies, inequality techniques, and time scale theory, finite-time stabilization criteria for the systems are derived that do not require differentiability of the time delay, and the controller is designed in a simple form that does not rely on power functions or delayed state feedback controllers. Corresponding results cover both continuous-time and discrete-time cases, and construct a unified theoretical framework for the finite-time analysis of the time-scale delayed systems. Meanwhile, the proposed event-triggered mechanism can avoid Zeno behavior and reduce the consumption of communication resources. The validity of the theoretical results is verified by two simulation experiments.