Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems with Singular Perturbations

Hao Shen, Feng Li, Shengyuan Xu, Victor Sreeram

Research output: Contribution to journalArticle

293 Citations (Scopus)

Abstract

The slow state variables feedback stabilization problem for semi-Markov jump discrete-time systems with slow sampling singular perturbations is discussed in this work. A new fairly comprehensive system model, semi-Markov jump system with singular perturbations, which is more general than Markov jump model, is employed to describe the phenomena of random abrupt changes in structure and parameters of the systems. Based on a slow state variables feedback control scheme, a novel technique to design the desired controller is presented and the allowed maximum of singular perturbation parameter can be calculated. With the help of the discrete-time semi-Markov kernel approach, some sojourn-time-dependent and less-conservative sufficient conditions are established via a novel matrix decoupling technique to ensure the solvability of the problem to be addressed. Finally, an illustrative example is given to show the superiority and usefulness of the proposed method.

Original languageEnglish
JournalIEEE Transactions on Automatic Control
DOIs
Publication statusE-pub ahead of print - 15 Nov 2017

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