Abstract
The robust H∞ filtering problem for uncertain discrete-time Markovian jump linear systems with modedependent time-delays is investigated. Attention is focused on designing a Markovian jump linear filter that ensures robust stochastic stability while achieving a prescribed H∞ performance level of the resulting filtering error system, for all admissible uncertainties. The key features of the approach include the introduction of a new type of stochastic Lyapunov functional and some free weighting matrix variables. Sufficient conditions for the solvability of this problem are obtained in terms of a set of linear matrix inequalities. Numerical examples are provided to demonstrate the reduced conservatism of the proposed approach.
| Original language | English |
|---|---|
| Pages (from-to) | 1072-1080 |
| Number of pages | 9 |
| Journal | Journal of Systems Engineering and Electronics |
| Volume | 20 |
| Issue number | 5 |
| State | Published - 22 Oct 2009 |
Keywords
- Discrete-time
- Filtering
- Linear matrix inequality
- Markovian jump linear system
- Mode-dependent delay
- Robust H
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