This article focuses on the problem of the diffusion event-triggered sequential asynchronous state estimation for the stochastic multiplicative noise systems. In this paper, we propose a diffusion sequential asynchronous state estimation algorithm for each node to obtain the final estimate. In order to ease the communication burden of the system, we propose a two-stage event-triggered mechanism to avoid the unnecessary information transmissions, and the corresponding state estimation algorithm is derived. The sufficient conditions to guarantee the boundedness of the estimation error of the proposed algorithm are established. The effectiveness of the proposed algorithm is verified through its application to a target tracking system.

本文重点研究随机乘法噪声系统的扩散事件触发顺序异步状态估计问题。在本文中，我们针对每个节点提出了一种扩散顺序异步状态估计算法以获得最终估计。为了减轻系统的通信负担，我们提出了两阶段事件触发机制来避免不必要的信息传输，并推导出相应的状态估计算法。建立了保证算法估计误差有界的充分条件。通过将其应用于目标跟踪系统，验证了所提出算法的有效性。