DocumentCode
3537140
Title
A mixed deterministic and stochastic small gain theorem and its application to networked stabilization
Author
Shuang Wan ; Li Qiu
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
6385
Lastpage
6390
Abstract
When both quantization and multiplicative noise are considered in a networked control system (NCS), the closed-loop involves both deterministic and stochastic uncertainties. Classical small gain theorems can handle the system stability with only one type of the uncertainties and hence need to be extended. In this paper we propose such a small gain theorem. The stochastic uncertainty is integrated with the linear time-invariant plant, and the stability condition of such systems with respect to deterministic uncertainties is characterized. Finally we apply the result to the NCS problem and acquire the stabilizability condition for the NCS.
Keywords
closed loop systems; networked control systems; stability; stochastic systems; uncertain systems; NCS problem; closed-loop system; deterministic uncertainties; linear time-invariant plant; mixed deterministic gain theorem; multiplicative noise; networked control system; networked stabilization; quantization noise; stability condition; stochastic small gain theorem; stochastic uncertainties; system stability; Noise; Quantization (signal); Random variables; Stability analysis; Stochastic processes; Stochastic systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760899
Filename
6760899
Link To Document