Title
Stability analysis of discrete-time Markov jump linear singular systems with partially known transition probabilities
Date Issued
01 December 2021
Access level
metadata only access
Resource Type
journal article
Author(s)
Publisher(s)
Elsevier B.V.
Abstract
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.
Volume
158
Language
English
OCDE Knowledge area
Matemáticas aplicadas
Estadísticas, Probabilidad
Subjects
Scopus EID
2-s2.0-85118595851
Source
Systems and Control Letters
ISSN of the container
01676911
Sponsor(s)
This research was supported by the Dirección de Gestión de la Investigación at PUCP under grant 2017-1-0060 , CNPq under grant 310877/2017-2 , CNPq-Universal under grant 421486/2016-3 and FAPESP-CEPID under grant 2013/07375-0.
Sources of information:
Directorio de Producción Científica
Scopus