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STOCHASTIC STABILITY FOR MODEL-BASED NETWORKED CONTROL SYSTEMS Luis A. Montestruque, Panos J. Antsaklis
 

Summary: STOCHASTIC STABILITY FOR MODEL-BASED NETWORKED CONTROL SYSTEMS
Luis A. Montestruque, Panos J. Antsaklis
University of Notre Dame, Notre Dame, IN 46556, U.S.A.
Department of Electrical Engineering
fax: (574) 631-4393
e-mail: {lmontest, pantsakl}@nd.edu
Abstract
In this paper we study the stochastic stability properties of certain
networked control system. Specifically we study the stability of
the Model-Based Network Control System introduced in [9]
under time-varying communication. The Model-Based Network
Control System uses knowledge of the plant to reduce the number
of packet exchanges and thus the network traffic. Stability
conditions for constant data packet exchange rates are analysed in
[9, 10, 11]. Here we concentrate on the stochastic stability of the
networked system when the packet exchange times are time
varying and have some known statistical properties. Conditions
are derived for Almost Sure and Mean Square stability for
independent, identically distributed update times. Mean Square
stability is also studied for Markov chain driven update times.

  

Source: Antsaklis, Panos - Department of Electrical Engineering, University of Notre Dame

 

Collections: Engineering