In this paper, the problem of ${\mathcal{H}}_{\infty }$ resilient filter for nonlinear network systems with dynamic event-triggered mechanism and hybrid cyber attack is discussed. The Takagi-Sugeno (T-S) fuzzy technique is applied to deal with the nonlinearity of network systems. For the obtained T-S fuzzy model, the system measurement output is assumed to transfer to the filter by network channels. A novel dynamic event-triggered communication scheme is proposed to improve the utilization of network resources. In addition, Bernoulli binomial distribution are used to simultaneously describe the phenomenon of deception and DoS attack. Multi-channel network delay is solved by the method of combining delay division and segmented Lyapunov-Krasovskii functional. The co-design conditions of the ${\mathcal{H}}_{\infty }$ resilient filter based on dynamic event-triggered are given by the form of linear matrix inequalities (LMIs), and ensures that the error filtering system is stochastically stable under the ${\mathcal{H}}_{\infty }$ performance index. Finally, the effectiveness and superiority of the filter are verified by the joint simulation of Matlab and Carsim.

在本文中，问题${\mathcal{H}}_{\infty }$讨论了具有动态事件触发机制和混合网络攻击的非线性网络系统的弹性过滤器。Takagi-Sugeno（TS）模糊技术用于处理网络系统的非线性。对于得到的 TS 模糊模型，假设系统测量输出通过网络通道传递给滤波器。为了提高网络资源的利用率，提出了一种新的动态事件触发通信方案。此外，伯努利二项分布用于同时描述欺骗和DoS攻击的现象。多通道网络时延采用时延分割与分段Lyapunov-Krasovskii泛函相结合的方法解决。协同设计条件${\mathcal{H}}_{\infty }$基于动态事件触发的弹性滤波器由线性矩阵不等式（LMI）的形式给出，并确保误差滤波系统在${\mathcal{H}}_{\infty }$性能指标。最后通过Matlab和Carsim的联合仿真验证了滤波器的有效性和优越性。