Quantized Output Feedback Stabilization over SNR Channel

被引:0
|
作者
Feng, Yu [1 ]
Chen, Xiang [2 ]
Gu, Guoxiang [3 ]
机构
[1] Zhejiang Univ Technol, Dept Informat Engn, 288 Liuhe Rd, Hangzhou 310032, Zhejiang, Peoples R China
[2] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
[3] Louisiana State Univ, Dept Elect & Comp Engn, Baton Rouge, LA 70803 USA
基金
加拿大自然科学与工程研究理事会;
关键词
Additive white Gaussian noise; networked control system; output feedback stabilization; quantization; signal-to-noise ratio constraint; SYSTEMS; STABILITY; SUBJECT;
D O I
暂无
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 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 logarithmic 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.
引用
收藏
页码:186 / 191
页数:6
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