Abstract: For the purpose of improving the usage of network bandwidth, and let the network filter be robust to packet drops happening during information transmission, a new algorithm of sampled event-triggered filter is proposed. Firstly, the structure of the network filter and triggered law is designed based on careful analysis of the nature of network environment. Secondly, utilizing the modeling method in the sampled-tine control system, the filter error system is modeled as a time-varying delay system with known bound. Using the Lyapunov-Krasovski method, a new sufficient condition for the existence of a H_∞ filter is given in the form of LMI. Finally, we give a simulation experiment to demonstrate the effectiveness of the proposed algorithm. The simulation results show that, compared with the traditional sampled-data filter, the proposed filter not only guarantees the H_∞ performance of the estimation error systems, reduces the traffic jam, but also has robustness of packet drops induced by the network environment.

Key words:

Network filtering system, event-triggered, Lyapunov-Krasovski function, linear matrix inequality

摘要：

为提高网络资源利用率，并使滤波器对网络环境中的数据包丢失具有一定的鲁棒性，提出了一种新的采样触发滤波算法。首先，在仔细分析网络环境特征的基础上提出一种新的触发机制；然后，借鉴采样控制的建模方法，滤波误差系统被建模成为一个上下边界已知的时变时滞系统；进而，利用李雅普诺夫—克拉索夫斯基方法，一个新的H_∞采样触发滤波器存在的充分条件以线性矩阵不等式的形式给出。最后，通过仿真实验测试新的滤波器的性能，实验结果表明，相较于当前同类滤波器，新的滤波器不仅可以使闭环误差系统满足预设的H_∞性能指标，还可以减少网络拥堵、提高网络资源利用率，

而且对数据丢包有一定的适应性。

关键词: 网络滤波系统, 事件触发, 李雅普诺夫—克拉索夫斯基泛函, 线性矩阵不等式