Self-Triggered Impulsive Control for Disturbed T-S Fuzzy Delay Systems
针对非线性T-S模糊时滞系统，提出一种自触发脉冲控制方法，利用当前状态预测下一次脉冲时刻，实现输入到状态稳定，并通过仿真验证有效性。
In this article, we devote to investigate the self-triggered impulsive control (STIC) approaches for input-to-state stability (ISS) of nonlinear T-S fuzzy delay systems. With the help of the Lyapunov–Razumikhin technique, an ISS-type comparison principle is proposed. The designed self-triggering mechanism (STM) can predict the next impulse instant only using the current state information, different from the existing event-triggered results that need a continuous state monitor. Based on such an STM, some impulsive controller design schemes for ISS of T-S fuzzy delay systems are provided. In addition, non-Zeno behavior can be guaranteed automatically without extra limitations. Finally, two simulations are provided to verify the effectiveness of the proposed theoretical results.