Published September 2019 | Version v1
Journal article

Stability and Stabilization for Discrete-time Markovian Jump Stochastic Systems with Piecewise Homogeneous Transition Probabilities

  • 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