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On robust stabilization of Markovian jump systems with uncertain switching probabilities

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This brief paper is concerned with the robust stabilization problem for a class of Markovian jump linear systems with uncertain switching probabilities. The uncertain Markovian jump system under consideration involves parameter uncertainties both in the system matrices and in the mode transition rate matrix. First, a new criterion for testing the robust stability of such systems is established in terms of linear matrix inequalities. Then, a sufficient condition is proposed for the design of robust state-feedback controllers. A globally convergent algorithm involving convex optimization is also presented to help construct such controllers effectively. Finally, a numerical simulation is used to illustrate the developed theory. © 2005 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)897-903
JournalAutomatica
Volume41
Issue number5
DOIs
Publication statusPublished - May 2005

Research Keywords

  • Linear matrix inequalities
  • Markovian parameters
  • Robust stability
  • Uncertain systems

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