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Robust stabilization of stochastic Markovian jumping dynamical networks with mixed delays

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the problem of robust adaptive stabilization of uncertain stochastic jumping dynamical networks with mode-dependent mixed delays is investigated. The mixed delays are composed of time-varying delays and distributed delays, both of which are mode dependent. By adaptive feedback technique, several sufficient criteria are derived to ensure the global asymptotical stability in mean square for the uncertain stochastic dynamical networks with mixed delays and Markovian jumping parameters. The controller is easy to implement in practical situations. In the end, the corresponding simulation results are constructed to support the theoretical results in this paper.

Original languageEnglish
Pages (from-to)107-115
Number of pages9
JournalNeurocomputing
Volume86
DOIs
StatePublished - 1 Jun 2012

Keywords

  • Adaptive control
  • Markovian jumping
  • Mixed time-delays
  • Stochastic systems

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