DocumentCode
404363
Title
Robust stabilization of linear uncertain systems via quantized feedback
Author
Fu, Minyue
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW, Australia
Volume
1
fYear
2003
fDate
9-12 Dec. 2003
Firstpage
199
Abstract
This paper studies the problem of robust stabilization for linear uncertain systems via logarithmic quantized feedback. Our work is based on a new method for the analysis of quantized feedback. More specifically, we characterize the quantization error using a simple sector bound. It is shown in our previous work that this method yields the same result on the coarsest quantization density as in the work of Elia and Mitter, when the system does not involve uncertainties. The advantage of this new method is that it is applicable to multi-input-multi-output systems and to performance control problems. In this paper, we apply this method to robust stabilization of linear uncertain systems. We give conditions under which there exists a quadratic stabilizing controller for a given quantization density. Both state feedback and output feedback are considered. For output feedback, we consider two cases: 1) quantization occurs at the control input; and 2) quantization occurs at the measured output.
Keywords
MIMO systems; linear quadratic control; linear systems; quantisation (signal); stability; state feedback; uncertain systems; linear uncertain systems; multiinput multioutput systems; output feedback; quadratic stabilizing controller; quantization density; quantization error; quantized feedback; robust stabilization; state feedback; Control systems; Feedback control; Feedback loop; Kalman filters; Output feedback; Quantization; Robustness; State feedback; Uncertain systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7924-1
Type
conf
DOI
10.1109/CDC.2003.1272560
Filename
1272560
Link To Document