H鈭?/sub> filtering for networked systems with partly known distribution transmission delays
- 作者：Songlin Hua ; Dong Yuea ; medongy@vip.163.com ; medongy@njnu.edu.cn ; Jinliang Liub
- 关键词：Networked system ; Markovian jump system ; H&infin ; filtering ; Random measurement delay ; System augmentation ; Linear matrix inequality (LMI)
- 刊名：Information Sciences
- 出版年：2012
- 期刊代码：62_00200255
- 类别：cp
- 出版时间：1 July, 2012
- 卷：194
- 期：Complete
- 页码：270-282
- 文件大小：367 K
摘要
This paper studies the H鈭?/sub> filtering problem for a class of discrete-time networked systems with partly known distribution transmission delays. It is assumed that the random sensor-filter delay satisfies Markovian characteristics, but the transition probabilities of the delay transferring from one value to others are partly known. A novel measurement model is proposed to reflect the random delay of the transmission modes and the resulting filtering error system is modeled as a Markovian jump system (MJS) with multiple modes and state delay. Sufficient conditions are derived for the filtering error system to be stochastically stable and ensure a prescribed H鈭?/sub> disturbance attenuation level bound by using mode-dependent Lyapunov functional approach. Based on the derived conditions, a design procedure for the H鈭?/sub> filter is also presented. A numerical example is provided to show the design process of the filter and the effectiveness of the proposed method.