A Hybrid Design Approach for Output Feedback Exponential Stabilization of Markovian Jump Systems

نویسندگان

  • Jun Song
  • Yugang Niu
  • James Lam
چکیده

This work deals with the exponential stabilization problem of discrete-time Markovian jump systems via a hybrid control strategy, in which the transition probability matrix and static output-feedback controller are designed simultaneously. A necessary and sufficient condition for the existence of an exponential stabilizing transition probability matrix is derived by means of a mode-dependent parametric approach. Furthermore, a sufficient condition is established for the above hybrid design with a specified lower bound on the decay rate. The proposed design approaches can be applied to solve two kinds of control design problems with practical constraints imposed on the hybrid design. Besides, an estimation approach is proposed on the decay rate and decay coefficient of the jump systems. Also, two optimization problems are formulated to obtain the hybrid control strategy. Finally, two numerical examples and a networkon-chip (NoC) based application are provided to illustrate the effectiveness of the proposed results.

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تاریخ انتشار 2018