This paper investigates the distributed filtering (DF) issue for a class of time-varying state-saturated systems with packet disorders (PDs) via the event-triggered communication mechanism (ETCM). The random transmission delays, which can be characterized by a set of random variables obeying certain probability distribution, cause the phenomenon of PDs. In addition, for the sake of decreasing the consumption of network resources, the ETCM is used to arrange the data transmission. On the basis of the measurable data information, a novel distributed filter is constructed that can ensure the existence of the upper bound matrix (UBM) regarding the filtering error (FE) covariance and then the trace of the presented UBM is minimized via constructing the suitable filter gain. Afterwards, the boundedness analysis of FE dynamics is provided to evaluate the filtering algorithm performance. Finally, the validity of the designed DF scheme is illustrated through a numerical experiment.

本文通过事件触发通信机制（ETCM）研究了一类具有分组紊乱（PD）的时变状态饱和系统的分布式过滤（DF）问题。随机传输时延可以用一组服从一定概率分布的随机变量来表征，从而导致了PDs现象。另外，为了减少网络资源的消耗，采用ETCM来安排数据传输。在可测量数据信息的基础上，构造了一种新颖的分布式滤波器，可以确保滤波误差（FE）协方差的上界矩阵（UBM）的存在，然后通过构造合适的UBM来最小化所呈现的UBM的迹。滤波器增益。然后，提供有限元动力学的有界分析来评估滤波算法的性能。最后通过数值实验说明了所设计的DF方案的有效性。