Time-limited pseudo-optimal ℋ2-model order reduction

Umair Zulfiqar, Victor Sreeram, Xin Du

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


A model order reduction algorithm is presented that generates a reduced-order model of the original high-order model, which ensures high fidelity within the desired time interval. The reduced model satisfies a subset of the first-order optimality conditions for the time-limited ℋ2-model reduction problem. The algorithm uses a computationally efficient Krylov subspace-based framework to generate the reduced model, and it is applicable to large-scale systems. The reduced-order model is parameterised to enforce a subset of the first-order optimality conditions in an iteration-free way. The authors also propose an adaptive framework of the algorithm, which ensures a monotonic decay in the error irrespective of the choice of interpolation points and tangential directions. The efficacy of the algorithm is validated on benchmark model reduction problems.

Original languageEnglish
Pages (from-to)1995-2007
Number of pages13
JournalIET Control Theory and Applications
Issue number14
Publication statusPublished - 24 Sep 2020


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