Quantization over network based on Kalman filter

Author

Liu, Bo ; Xia, Yuanqing ; Shang, Jizong ; Fu, Mengyin

Author_Institution

Dept. of Autom. Control, Beijing Inst. of Technol., Beijing, China

fYear

2011

fDate

23-26 May 2011

Firstpage

433

Lastpage

438

Abstract

This paper is concerned with the quantization strategy and stability analysis of networked control systems with quantized output feedback. Based on Kalman filter, estimated states are obtained through noisy measurement, a simple quantization strategy is proposed to quantize the estimated states. Sufficient condition is given for closed-loop system to be stable. Numerical simulation is given to show the effectiveness of the quantization scheme.

Keywords

Kalman filters; closed loop systems; feedback; networked control systems; numerical analysis; quantisation (signal); stability; Kalman filter; closed loop system; network quantization; networked control systems; numerical simulation; quantized output feedback; stability analysis; Asymptotic stability; Control systems; Equations; Kalman filters; Numerical stability; Quantization; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Control of Industrial Processes (ADCONIP), 2011 International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-7460-8

Electronic_ISBN

978-988-17255-0-9

Type

conf

Filename

5930466

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1909246