Abstract
The problem of H∞ model simplification for singular systems with Markovian jumping parameters and time-delay is investigated. For a given stochastic stable system, our attention is focused on the construction of reduced-order models which guarantee the corresponding error system to be admissible and have a prescribed H∞ error performance. A robust admissibility condition and a robust bounded real lemma are developed based on which, sufficient conditions for the existence of desired reduced-order models are proposed. Desired reduced-order model can be constructed when the proposed conditions are satisfied. The effectiveness of the proposed model reduction method is illustrated via a numerical example.
| Original language | English |
|---|---|
| Pages (from-to) | 379-395 |
| Number of pages | 17 |
| Journal | Optimal Control Applications and Methods |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 2011 |
| Externally published | Yes |
Keywords
- Markovian jump systems
- linear matrix inequality (LMI)
- model reduction
- singular systems
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