Title :
Tracking performance for output feedback control under quantization constraints
Author :
Tian Qi ; Weizhou Su ; Jie Chen
Author_Institution :
Coll. of Autom. Sci. & Eng, South China Univ. of Technol., Guangzho, China
Abstract :
This paper studies the tracking problem for linear time-invariant (LTI), single-input single-output (SISO) discrete-time network control systems with quantization constraints on control signal. The logarithmic quantizer is adopted and quantization error is formulated as multiplicative noise. In order to tracking the reference step signal, an output-feedback controller in Youla parameterization is considered. An analytic expression of tracking performance limitation is received which is determined by the non-minimum phase zeroes of given system and the unique solution to a parameterized algebraic Riccati equation. What is more meaningful is that the optimal output feedback controller is an observer-based stabilizing controller. These results also provide an output feedback controller design method to solve LQR/LQG problem for linear systems with multiplicative noise.
Keywords :
Riccati equations; discrete time systems; feedback; linear quadratic Gaussian control; linear systems; networked control systems; observers; stability; LQG problem; LQR problem; Youla parameterization; linear systems; linear time invariant system; logarithmic quantizer; multiplicative noise; nonminimum phase zeroes; observer-based stabilizing controller; output feedback control; parameterized algebraic Riccati equation; quantization constraints; single-input single-output discrete-time network control systems; tracking performance; Equations; Linear systems; Noise; Output feedback; Quantization; Zirconium; Logrithmic quantizer; Networked control system; Output-feedback control; Tracking performance;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768