Improved H<inf>2</inf> controller design for Markov jump linear system with general transition probabilities

Abstract

This paper concentrates on the problem of designing H<sub>2</sub> state-feedback controllers for continuous-time Markovian jump linear systems (MJLSs) with more general transition rates. The elements in the considered transition rates matrix include completely known, boundary known and completely unknown ones. Some new techniques are proposed to deal with transition probabilities, and less conservative conditions than those in [14] for H<sub>2</sub> performance analysis of MJLs are obtained in the framework of linear matrix inequalities. Moreover, the unknown transition probabilities can be decoupled from the Lyapunov matrices. As a result, new sufficient conditions for H<sub>2</sub> controller vis state feedback are proposed. Finally, a numerical example is given to verify the effectiveness and superiority of the proposed method.

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Cite this paper

@article{Ye2012ImprovedHC, title={Improved H2 controller design for Markov jump linear system with general transition probabilities}, author={Dan Ye and Quan-Yong Fan and Xin-Gang Zhao}, journal={2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)}, year={2012}, pages={1209-1214} }