Stabilization of quantized systems based on Kalman filter

被引：9
作者：
Xia, Yuanqing [1 ]
Yan, Jingjing [1 ]
Shang, Jizong [1 ]
Fu, Mengyin [1 ]
Liu, Bo [1 ]
机构：
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
来源：
CONTROL ENGINEERING PRACTICE | 2012年 / 20卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Kalman filtering; Quantization; Stability; LINEAR-SYSTEMS;
D O I：
10.1016/j.conengprac.2012.04.009
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with the design and stability analysis of networked control systems with quantization effect and noisy measurement. Quantization strategy used here is a traditional uniform one, and Kalman filter is applied to obtain the estimated states. Under some assumptions and conditions, a sufficient condition is given for the closed-loop system to be stable based on Lyapunov theory and invariable set theory. Two examples are given to show the effectiveness of the main results. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：954 / 962
页数：9
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