Abstract
This paper considers the stability analysis and stabilization of continuous-time Markov jump linear systems(MJLSs) with partly known transition probabilities. According to the bounds of transition probabilities, the partly known transition probabilities considered cover the cases of known, unknown with known bounds and completely unknown. New sufficient conditions which can be applied to stability analysis and stabilization for the considered system are obtained in terms of LMIs. In the case that the transition probabilities are known, the results proposed are reduced to the existing ones. Finally, a numerical example verifies the effectiveness of the proposed method.
Original language | English |
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Pages (from-to) | 875-880 |
Number of pages | 6 |
Journal | Kongzhi yu Juece/Control and Decision |
Volume | 27 |
Issue number | 6 |
State | Published - Jun 2012 |
Externally published | Yes |
Keywords
- Linear matrix inequalities
- Markov jump linear systems
- Parameter dependent Lyapunov function
- Partly known transition probabilities