Publicación
Stability analysis of discrete-time Markov jump linear singular systems with partially known transition probabilities
Resumen
In this paper, we present sufficient conditions for the stochastic stability (SS) of a Markov jump linear singular system (MJLSS) with partially known transition probabilities. To handle this problem, we give two different approaches: the first one is based on the Dynamics decomposition (DD) of the system and the second one on the Weierstrass decomposition (WD). We show the relationship between these two approaches and provide a numerical example. By using the MATLAB Econometrics Toolbox, a simulation is run in order to validate our results.
Autores y colaboradores
Palabras clave
Linear matrix inequalities Markovian jump linear systems Partially known transition probabilities Singular systems Stability
