Event-Triggered Finite-Time Dissipative Filtering for Interval Type-2 Fuzzy Complex Dynamical Networks With Cyber Attacks
针对带耦合时延和网络攻击的区间二型模糊复杂动态网络，设计了一种事件触发的有限时间耗散滤波器，通过伯努利分布建模随机欺骗攻击，并用线性矩阵不等式求解滤波器参数，数值和隧道二极管电路实例验证了有效性。
This article aims to resolve the event-based finite-time dissipative filtering issue for interval type-2 fuzzy complex dynamical networks with coupling delays and cyber attacks. An event-triggered scheme introducing the estimation error is designed, which is a tradeoff between state estimator performance and network communication bandwidth in accordance with the practical requirements. Moreover, the cyber attack model is established, which consists of randomly occurring deception attacks. The stochastic variable obeying the Bernoulli distribution is utilized to describe the attack condition. Through handling the linear matrix inequalities (LMIs) with some slack matrices, the event-triggered finite-time filter is designed to guarantee that the resulting systems are finite-time bounded and strictly dissipative. The proposed filter design parameters are obtained by solving LMIs. Finally, a numerical example and a practical example of a tunnel diode circuit system are used to show the effectiveness and applicability of the proposed event-based dissipative filtering scheme.