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Time-limited H2-optimal model order reduction

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  • Goyal, Pawan
  • Redmann, Martin

Abstract

In this paper, we investigate a time-limited H2-model order reduction method for linear dynamical systems. For this, we propose a time-limited H2-norm and show its connection with the time-limited Gramians. We then derive first-order conditions for optimality of reduced-order systems with respect to the time-limited H2-norm. Based on these optimality conditions, we propose an iterative correction scheme to construct reduced-order systems, which, upon convergence, nearly satisfy these conditions. Furthermore, a diagnostic measure is proposed for how close the obtained reduced-order system is to optimality. We test the efficiency of the proposed iterative scheme using various numerical examples and illustrate that the newly proposed iterative method can lead to a better reduced-order models compared to the unrestricted iterative rational Krylov subspace algorithm in a finite time interval of interest.

Suggested Citation

  • Goyal, Pawan & Redmann, Martin, 2019. "Time-limited H2-optimal model order reduction," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 184-197.
  • Handle: RePEc:eee:apmaco:v:355:y:2019:i:c:p:184-197
    DOI: 10.1016/j.amc.2019.02.065
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    Cited by:

    1. Li, Yanpeng & Jiang, Yaolin & Yang, Ping, 2022. "Model order reduction of port-Hamiltonian systems with inhomogeneous initial conditions via approximate finite-time Gramians," Applied Mathematics and Computation, Elsevier, vol. 422(C).

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