Network-based event-triggered H-infinity filtering for discrete-time singular Markovian jump systems
Network-based event-triggered H-infinity filtering for discrete-time singular Markovian jump systems
复制标题
离散时间奇异马尔可夫跳跃系统的基于网络的事件触发H无穷大滤波
DOI：
10.1016/j.sigpro.2017.11.013
复制
发表时间：
2018
影响因子：
4.4
通讯作者：
Zhang Baoyong
中科院分区：
文献类型：
--
作者：
Xu Qiyi;Zhang Yijun;Zhang Baoyong
研究离散奇异马尔可夫跳变系统的基于网络的H ∞滤波问题。为了节省有限的网络资源，提出了一种模式依赖的事件触发机制。基于所提出的事件触发方案，建立了一个基于网络的时滞奇异马尔可夫跳变系统。利用时滞分割技术，得到了保证滤波误差系统正则、因果、随机稳定且具有一定H ∞性能指标的新判据。在统一的框架下，基于准则设计了具有模式无关特性的变阶H ∞滤波器。提出了一种基于线性矩阵不等式的滤波器和事件触发方案的协同设计方法。数值算例验证了该方法的有效性。
This paper is concerned with the network-basedH∞filtering problem for discrete-time singular Markovian jump systems with an event-triggered scheme. To save the limited network resource, a mode-dependent event-triggered scheme is proposed. A network-based singular Markovian jump system with time-delay is established based on the proposed event-triggered scheme. By using the delay partitioning technology, new criteria are derived which guarantee the filtering error system to be regular, causal, stochastically stable with a certainH∞performance index. The variable orderH∞filters with mode-independent characterization are designed in a unified framework based on criteria. A co-design method for the filter and event-triggered scheme is proposed in terms of the linear matrix inequalities. A numerical example is provided to illustrate the effectiveness of the proposed method.