Stabilization of quantized systems based on Kalman filter

Yuanqing Xia; Jingjing Yan; Jizong Shang; Mengyin Fu; Bo Liu

doi:10.1016/j.conengprac.2012.04.009

Stabilization of quantized systems based on Kalman filter

Yuanqing Xia^*
, Jingjing Yan
, Jizong Shang
, Mengyin Fu
, Bo Liu

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

14 引用（Scopus）

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.

源语言	英语
页（从-至）	954-962
页数	9
期刊	Control Engineering Practice
卷	20
期	10
DOI	https://doi.org/10.1016/j.conengprac.2012.04.009
出版状态	已出版 - 10月 2012

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10.1016/j.conengprac.2012.04.009

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title = "Stabilization of quantized systems based on Kalman filter",

abstract = "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.",

keywords = "Kalman filtering, Quantization, Stability",

author = "Yuanqing Xia and Jingjing Yan and Jizong Shang and Mengyin Fu and Bo Liu",

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AU - Xia, Yuanqing

AU - Yan, Jingjing

AU - Shang, Jizong

AU - Fu, Mengyin

AU - Liu, Bo

PY - 2012/10

Y1 - 2012/10

N2 - 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.

AB - 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.

KW - Kalman filtering

KW - Quantization

KW - Stability

UR - https://www.scopus.com/pages/publications/84865374915

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Stabilization of quantized systems based on Kalman filter

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