Event-triggered distributed H-infinity state estimation with packet dropouts through sensor networks
Event-triggered distributed H-infinity state estimation with packet dropouts through sensor networks
复制标题
通过传感器网络进行丢包的事件触发分布式 H 无穷状态估计
DOI：
10.1049/iet-cta.2014.1055
复制
发表时间：
2015
影响因子：
2.6
通讯作者：
Dong Hongli
中科院分区：
文献类型：
--
作者：
Ding Derui;Wang Zidong;Shen Bo;Dong Hongli
研究了传感器网络中一类具有丢包的离散随机非线性系统的事件触发分布式状态估计问题.传感器网络采用事件触发的通信机制，希望减少通信负担和能量消耗，其中每个传感器上的测量值仅在违反特定触发条件时才被传输。此外，一种新的分布式状态估计器的设计，其中可用的创新不仅是从个人的传感器，但也从其相邻的根据给定的拓扑结构。所考虑的问题的目的是设计一组分布式状态估计器，使得估计误差的动态是指数均方稳定的，并且还保证了预定义的∞干扰抑制衰减水平。通过利用克罗内克积和随机分析方法的属性，充分条件下，所解决的状态估计问题是重铸作为一个凸优化，可以很容易地通过现有的软件包解决。最后，一个仿真例子被用来说明所提出的事件触发分布式状态估计器的设计方案的有用性。
This study is concerned with the event‐triggered distributed ℋ∞state estimation problem for a class of discrete‐time stochastic non‐linear systems with packet dropouts in a sensor network. An event‐triggered communication mechanism is adopted over the sensor network with hope to reduce the communication burden and the energy consumption, where the measurements on each sensor are transmitted only when a certain triggering condition is violated. Furthermore, a novel distributed state estimator is designed where the available innovations are not only from the individual sensor, but also from its neighbouring ones according to the given topology. The purpose of the problem under consideration is to design a set of distributed state estimators such that the dynamics of estimation errors is exponentially mean‐square stable and also the prespecified ℋ∞disturbance rejection attenuation level is guaranteed. By utilising the property of the Kronecker product and the stochastic analysis approaches, sufficient conditions are established under which the addressed state estimation problem is recast as a convex optimisation one that can be easily solved via available software packages. Finally, a simulation example is utilised to illustrate the usefulness of the proposed design scheme of event‐triggered distributed state estimators.