Title
On almost sure stability of continuous-time Markov jump linear systems
Abstract
In this paper, we study the almost sure stability of continuous-time jump linear systems with a finite-state Markov form process. A sufficient condition for almost sure stability is derived that refers to the statistics of the transition matrix over m switches. It is shown that, if the system is exponentially almost sure stable, there exists a finite m such that the criterion is satisfied. In order to evaluate the expected value appearing in the condition, an efficient Monte Carlo algorithm is worked out.
Year
DOI
Venue
2006
10.1016/j.automatica.2006.02.007
Automatica
Keywords
Field
DocType
Markov jump linear systems,Stochastic jump processes,Hybrid systems,Stability,Monte Carlo method
Applied mathematics,Markov process,M-matrix,Stochastic matrix,Control theory,Markov chain,Stochastic process,Expected value,Exponential stability,Calculus,Mathematics,Jump process
Journal
Volume
Issue
ISSN
42
6
0005-1098
Citations 
PageRank 
References 
23
1.78
3
Authors
3
Name
Order
Citations
PageRank
P. Bolzern19917.69
P. Colaneri29420.76
G. de Nicolao324654.53