Abstract
This paper studies the robust finite-time H∞ state feedback control problem of continuous-time Markov jump systems (MJSs) subject to norm bounded uncertainties. Transition probabilities are allowed to be known, uncertain with known bounds or unknown. Based on the continuous transition probability property and the developed slack variable technique, Lyapunov variables are separated from unknown transition probabilities and system matrices. With these separations, a relaxed method for robust finite-time H∞ controller design is proposed in terms of linear matrix inequalities (LMIs). Numerical examples are given to illustrate the effectiveness of and the benefit from the proposed method.
Original language | English |
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Pages (from-to) | 211-231 |
Number of pages | 21 |
Journal | Control and Cybernetics |
Volume | 44 |
Issue number | 2 |
State | Published - 2015 |
Keywords
- Linear matrix inequality (LMI)
- Markov jump systems
- Partly known transition probabilities
- Robust finite-time H∞ control