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