4.6 Article

Stochastic stability of nonlinear discrete-time Markovian jump systems with time-varying delay and partially unknown transition rates

Journal

NEUROCOMPUTING
Volume 175, Issue -, Pages 450-458

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2015.10.081

Keywords

Markovian jump systems; Time-varying delay; Stochastic stability; Weighted summation inequalities

Funding

  1. ARC Discovery [DP130101532]
  2. NAFOSTED of Vietnam [101.01-2014.35]
  3. Research Fund of Hanoi Pedagogical University [2, C.2015.01]

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This paper is concerned with stochastic stability of a class of nonlinear discrete-time Markovian jump systems with interval time-varying delay and partially unknown transition probabilities. A new weighted summation inequality is first derived. We then employ the newly derived inequality to establish delay-dependent conditions which guarantee the stochastic stability of the system. These conditions are derived in terms of tractable matrix inequalities which can be computationally solved by various convex optimized algorithms. Numerical examples are provided to illustrate the effectiveness of the obtained results. (C) 2015 Elsevier B.V. All rights reserved.

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