DocumentCode :
3572199
Title :
Quantized output feedback stabilization over SNR channel
Author :
Yu Feng ; Xiang Chen ; Guoxiang Gu
Author_Institution :
Dept. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
fYear :
2014
Firstpage :
186
Lastpage :
191
Abstract :
This paper considers the problem of output feedback stabilization for single-input-single-output (SISO) discrete-time systems over a communication channel, where logarithmic quantization error and white noise are included. The log-arithmic quantizer is characterized by a received signal-to-error ratio (R-SER) model and the white noise is modelled by additive white Gaussian noise (AWGN) channel where a signal-to-noise ratio (SNR) constraint is imposed. An observer-based controller is aimed to stabilize the system in the presence of quantized error and to satisfy some pre-specified power constraint, simultaneously. A solvability condition is derived by solving some algebraic Riccati equations (AREs) and an inequality involving the Mahler measure of the plant.
Keywords :
AWGN channels; MIMO communication; Riccati equations; control system synthesis; discrete time systems; feedback; networked control systems; observers; stability; telecommunication control; additive white Gaussian noise channel; algebraic Riccati equations; log-arithmic quantizer; logarithmic quantization error; networked control system; observer-based controller; quantized output feedback stabilization; received signal-to-error ratio model; signal-to-noise ratio constraint; single-input-single-output discrete-time system; white noise; AWGN channels; Closed loop systems; Networked control systems; Output feedback; Quantization (signal); Signal to noise ratio; State feedback; Additive white Gaussian noise; networked control system; output feedback stabilization; quantization; signal-to-noise ratio constraint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7052710
Filename :
7052710
Link To Document :
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