Distributed H∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks
Distributed H∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks
复制标题
有损传感器网络上一类马尔可夫跳跃非线性时滞系统的分布式 H 滤波
DOI：
10.1109/tie.2012.2213553
复制
发表时间：
2013-10-01
影响因子：
7.7
通讯作者：
Gao, Huijun
中科院分区：
文献类型：
--
作者：
Dong, Hongli;Wang, Zidong;Gao, Huijun
研究了一类离散马尔可夫跳变非线性时滞系统的分布式H_∞滤波问题。系统测量值通过有损传感器网络收集，该网络受到随机发生的量化误差和随机发生的数据包丢失的影响。模式转换的统计缺陷的描述，占已知的，未知的，和不确定的过渡概率是全面的。一个分布式滤波器的设计方案概述了明确表征滤波器增益的一些矩阵不等式。仿真结果验证了该滤波方案的有效性。
This paper is concerned with the distributed H-infinity filtering problem for a class of discrete-time Markovian jump nonlinear time-delay systems with deficient statistics of mode transitions. The system measurements are collected through a lossy sensor network subject to randomly occurring quantization errors and randomly occurring packet dropouts. The description of deficient statistics of mode transitions that account for known, unknown, and uncertain transition probabilities is comprehensive. A distributed filter design scheme is outlined by explicitly characterizing the filter gains in terms of some matrix inequalities. Simulation results demonstrate the effectiveness of the proposed filtering scheme.