Stability and Stabilization for Discrete-time Markovian Jump Stochastic Systems with Piecewise Homogeneous Transition Probabilities
Creators
- 1. University of Shanghai for Science and Technology, School of Optical-Electrical and Computer Engineering (China)
- 2. Harbin Institute of Technology, Center for Control Theory and Guidance Technology (China)
Description
In this paper, the stability and stabilization problems for discrete-time Markovian jump stochastic systems with time-varying transition probabilities are investigated. The time-varying character of the transition probabilities is considered to be finite piecewise homogeneous and the variations in the finite set are considered to be a stochastic variation. First, a stability criterion is derived to guarantee the stochastic stability of the considered piecewise homogeneous Markovian jump stochastic system. Further, a sufficient condition on the existence of a mode-dependent state feedback controller is proposed such that the resulting closed-loop system is stochastically stable. In addition, the stability and stabilization problems are studied for the piecewise homogeneous Markovian jump stochastic system with incomplete transition descriptions. Finally, some simulation results are given to show the validity and potential of the developed results.
Additional details
Identifiers
Publishing Information
- Journal Title
- International Journal of Control, Automation, and Systems
- Journal Volume
- 17
- Journal Issue
- 9
- Journal Page Range
- p. 2165-2173
- ISSN
- 1598-6446
INIS
- Country of Publication
- Korea, Republic of
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51083089
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- CONTROL; FEEDBACK; MARKOV PROCESS; SIMULATION; STABILITY; STABILIZATION
- Descriptors DEC
- STOCHASTIC PROCESSES
Optional Information
- Copyright
- Copyright (c) 2019 ICROS, KIEE and Springer