The article develops a novel stubborn set‐membership filtering with the dynamic event‐triggered scheme for discrete‐time nonlinear systems with the state‐delays, unknown‐but‐bounded noises as well as abnormal measurements. First, in comparison with traditional event schemes, a dynamic event‐triggered scheme with a time‐varying auxiliary offset variable in the threshold is employed to schedule the access token with the purpose of mitigating the communication burden. A novel fuzzy stubborn filter in a distributed way is then constructed to obtain the ellipsoid set including the real state while constraining the direct influence of abnormal measurements, which could come from outliers or a malicious modification by attackers. An algorithm with the form of recursive linear matrix inequalities is presented to determine the desired ellipsoids as well as the distributed filter gains, where the operation of the algorithm do not depend on the global information of network topology. Finally, the validity of the proposed scheme is illustrated via an inverted pendulum system.

中文翻译：

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采用基于事件的动态方案的分布式顽固集成员资格过滤：Takagi-Sugeno模糊框架

本文针对具有状态延迟，未知但有界噪声以及异常测量的离散非线性系统，采用动态事件触发方案开发了一种新颖的顽固集成员资格过滤。首先，与传统事件方案相比，采用动态事件触发方案，该方案在阈值中具有随时间变化的辅助偏移量，以调度访问令牌，从而减轻通信负担。然后构造一种新颖的分布式模糊固结滤波器，以获取包括真实状态的椭球集，同时限制异常测量的直接影响，该异常测量可能来自异常值或攻击者的恶意修改。提出了一种具有递归线性矩阵不等式形式的算法来确定所需的椭球以及分布式滤波器增益，其中算法的操作不依赖于网络拓扑的全局信息。最后，通过倒立摆系统说明了所提方案的有效性。