DocumentCode :
3548916
Title :
Model-Based Networked Control for Finite-Time Stability of Nonlinear Systems: The Stochastic Case
Author :
Mastellone, S. ; Abdallah, C.T. ; Dorato, P.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL
fYear :
2005
fDate :
27-29 June 2005
Firstpage :
1091
Lastpage :
1096
Abstract :
In this paper we analyze model-based networked control systems for a discrete-time nonlinear plant model, operating in the presence of stochastic dropout of state observations. The dropout is modeled as a Markov chain, and sufficient conditions for finite-time stochastic stability are provided using the stochastic version of Lyapunov second method. In a companion paper we model the dropout as a deterministic sequence
Keywords :
Markov processes; computer networks; discrete time systems; nonlinear control systems; stability; Lyapunov second method; Markov chain; discrete-time nonlinear plant model; finite-time stochastic stability; model-based networked control; nonlinear systems; state observations; stochastic dropout; Communication system control; Computer aided software engineering; Control systems; Networked control systems; Nonlinear control systems; Nonlinear systems; Stability; Stochastic processes; Stochastic systems; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
ISSN :
2158-9860
Print_ISBN :
0-7803-8936-0
Type :
conf
DOI :
10.1109/.2005.1467167
Filename :
1467167
Link To Document :
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