近期，实验室博士生杨柳作为第一作者，导师吴立刚教授作为通讯作者的论文“Distributed Filtering with Dynamic Event-triggered Communication for Networked Periodic System”被国际期刊IEEE Transactions on Control of Network Systems录用。

该论文针对具有多传感器的网络环境下的连续时间周期系统在具有扰动且系统输出不可测或部分可测的情况下，基于脉冲的方法，建立了滤波误差系统全局收敛条件，并基于凸线性化设计了峰-峰值滤波器增益的求解方法。其创新性体现在：基于脉冲技术对事件触发机制下的控制系统进行建模，降低了其分析难度。提出了一种新形式的动态事件触发机制，与静态事件触发机制相比，在保证滤波效果的情况下，尽可能的减少了事件触发次数。

Abstract

This paper deals with the problem of distributed filtering of periodic systems over sensor networks under event-triggered communications, based on a piecewise impulsive method. The continuous-time periodic system is approximated by several linear time-invariant subsystems through a piecewise constant method. The sensor network deployed to the periodic system is taken into account for the actual needs of monitoring or estimation. A dynamic event-triggering mechanism is designed to reduce the unnecessary data transmission over the wireless network from the sensor to the filter as well as between each filter. Distributed peak-to-peak filters with periodic time-varying parameters are designed under the event-triggering mechanism, to estimate the networked continuous-time periodic systems with the bounded and local differentiable disturbance. Then, a periodic piecewise filtering error system is modeled as an impulsive periodic piecewise system, for which sufficient conditions of a guaranteed peak-to-peak performance are proposed. The gains of the filters are obtained by the method of convex linearization. The validity of the proposed results is demonstrated by a pendulum tracking system.