DocumentCode
2461219
Title
Stochastic analysis and stabilization of remote control systems
Author
Sheng, Long ; Pan, Ya-Jun
Author_Institution
Dept. of Mech. Eng., Dalhousie Univ., Halifax, NS, Canada
fYear
2009
fDate
10-12 June 2009
Firstpage
2984
Lastpage
2989
Abstract
This paper mainly investigated a sampled-data control approach to deal with the stabilization problem of networked control systems (NCSs) with packet losses and bounded time varying delays. A new Lyapunov-Krasovskii functional candidate is constructed to analyze the stability of the overall system with bounded random packet losses and time varying delays. As a result, corresponding stabilizing sampled-data controller is designed based on the stability conditions. A real-time network measurement system has been developed based on MATLAB applications. Instrument Control Toolbox was used to implement communications between two computers with MATLAB applications via the Internet. Experiments were done to demonstrate the real network properties. A real-time networked control system has been constructed to test the stabilizing ability of the controller design in a real network environment. Experimental results illustrate the effectiveness of the proposed approach, a good combination of the theory and the real applications.
Keywords
Internet; Lyapunov methods; computerised instrumentation; control engineering computing; control system synthesis; delay systems; feedback; mathematics computing; measurement systems; real-time systems; sampled data systems; stability; time-varying systems; Instrument Control Toolbox; Internet; Lyapunov-Krasovskii functional candidate; MATLAB; bounded time varying delays; computer communications; networked control systems; packet losses; real-time network measurement system; remote control system stabilization; sampled-data control approach; stabilizing sampled-data controller design; stochastic analysis; Application software; Communication system control; Control systems; Delay effects; MATLAB; Networked control systems; Real time systems; Stability analysis; Stochastic systems; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5159962
Filename
5159962
Link To Document