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Time-delay dependent H model simplification for singular systems with Markovian jumping parameters

  • Hongqian Lu
  • , Wuneng Zhou*
  • , Yuhua Xu
  • , Jian'An Fang
  • , Dongbing Tong
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)379-395
Number of pages17
JournalOptimal Control Applications and Methods
Volume32
Issue number4
DOIs
StatePublished - Jul 2011
Externally publishedYes

Keywords

  • Markovian jump systems
  • linear matrix inequality (LMI)
  • model reduction
  • singular systems

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