DocumentCode
2324955
Title
Modeling and stability of long random delay networked control systems
Author
Wu, Jin ; Deng, Fei-qi ; Gao, Jing-Guang
Author_Institution
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume
2
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
947
Abstract
The work of this paper is the first step of the Networked Control Systems Project. In this paper, modeling and stability of the long random delay networked control systems are discussed. The objective is to present a model for such systems, and discuss the systems´ stability under such a model. First, we employ the multirate sampling method together with the augmented state matrix method to model the long random delay networked control systems. Secondly, by formulating the modeled systems as discrete-time switched systems, the long random delay networked control systems´ stability can be reduced to the corresponding problems of the discrete-time switched systems. By applying the available results in the literature for the discrete-time switched systems, we present a theorem about the sufficient conditions of the systems´ dwell time stability and discuss how to select the proper N so as to stabilize the systems considering rigorous stability and get a good system performance as well.
Keywords
delays; discrete time systems; distributed control; sampling methods; stability; Networked Control Systems Project; discrete-time switched systems; long random delay networked control systems stability; multirate sampling method; state matrix method; systems dwell time stability; Actuators; Communication system control; Control systems; Delay effects; Delay systems; Feedback control; Networked control systems; Sampling methods; Stability; Switched systems; Networked control systems; average dwell time; dwell time; multirate sampling; switched systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527080
Filename
1527080
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