<p>This study addresses stability analysis and anti-windup design of uncertain discrete-time switched fuzzy systems with actuator saturation via event-triggered scheme. First, A co-design framework integrating switching laws and anti-windup compensators with event-triggered control is developed to rigorously guarantee exponential stability of the closed-loop system. Second, by combining the minimum dwell-time method and switching laws with Lyapunov functionals, sufficient conditions are derived to determine anti-windup compensator gains that enlarge the estimated domain of attraction. Moreover, a linear matrix inequality (LMI)-based constrained optimization framework is then formulated to maximize the estimated domain of attraction. A numerical simulation validates the effectiveness of the proposed methodology.</p>

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Stability Analysis and Anti-windup Design of Uncertain Discrete-Time Switched Fuzzy Systems with Actuator Saturation via Event-Triggered Scheme

  • Chao Yuan,
  • Xinquan Zhang

摘要

This study addresses stability analysis and anti-windup design of uncertain discrete-time switched fuzzy systems with actuator saturation via event-triggered scheme. First, A co-design framework integrating switching laws and anti-windup compensators with event-triggered control is developed to rigorously guarantee exponential stability of the closed-loop system. Second, by combining the minimum dwell-time method and switching laws with Lyapunov functionals, sufficient conditions are derived to determine anti-windup compensator gains that enlarge the estimated domain of attraction. Moreover, a linear matrix inequality (LMI)-based constrained optimization framework is then formulated to maximize the estimated domain of attraction. A numerical simulation validates the effectiveness of the proposed methodology.