Interval Type-2 Fuzzy Sliding Mode Resilient Control via Probability-Dependent Adaptive Event-Triggered Scheme
针对遭受随机拒绝服务攻击的区间二型模糊系统，提出一种概率依赖的自适应事件触发方案，并设计模糊滑模弹性控制器，在资源受限和不可靠网络下保证系统可达性和稳定性。
This article focuses on the event-triggered sliding mode control for interval type-2 (IT2) fuzzy systems subject to the randomly occurring denial-of-service (DoS) attacks. Under the resource-limited and unreliable network, a probability-dependent adaptive event-triggered scheme (AETS) is proposed, whose triggering parameter can be adaptively adjusted in accordance with the convergence trend of the system state and the attack probability. By constructing a sliding function with one-step-memorized state information, a fuzzy sliding mode resilient controller is designed, whose membership functions (MFs) dependent on the compromised triggered state do not require the same fuzzy rules as the fuzzy system. Furthermore, by employing the global bounds of mismatched MFs, the co-design conditions for the AETS and the fuzzy controller are derived for attaining both the reachability and the stability. Finally, a simulation example and the comparison results are provided.