H∞ filtering for networked Lipschitz nonlinear system with quantization and packet dropout

被引：0
作者：
Ma, Weiguo [1 ]
Chen, Feng [1 ]
Yang, Zhong [2 ]
机构：
[1] College of Electrical Engineering, Nantong University, Nantong
[2] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Journal of Applied Sciences | 2013年 / 13卷 / 07期
关键词：
Data quantization; H∞; filtering; Linear matrix inequality; Markovian jump system; Packet dropout;
D O I：
10.3923/jas.2013.1080.1086
中图分类号：
学科分类号：
摘要：
Filter is applied to estimate the state of a system disturbed by external noise. When the statistical information of the noise is not exactly known, H∞ filter is suitable for the state estimation of the system. In this study, H∞ filter is designed for networked Lipschitz nonlinear system with logarithmic quanitzer and packet dropout governed by Markovian Chain. The filtering error system is modeled as a Markovian jump system. Based on Lyapunov stability theory, the sufficient condition for the existence of the desired filter which guarantees the filtering error system to be stochastically stable with a given H∞ performance is derived. The filter parameters can be obtained by the solution of a set of linear matrix inequalities. The simulation example proves that the proposed method is effective in filtering of networked Lipschitz nonlinear system. © 2013 Asian Network for Scientific Information.
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页码：1080 / 1086
页数：6
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