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      Numerical computation and new output bounds for time-limited balanced truncation of discrete-time systems

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          Abstract

          In this paper, balancing based model order reduction (MOR) for large-scale linear discrete-time time-invariant systems in prescribed finite time intervals is studied. The first main topic is the development of error bounds regarding the approximated output vector within the time limits. The influence of different components in the established bounds will be highlighted. After that, the second part of the article proposes strategies that enable an efficient numerical execution of time-limited balanced truncation for large-scale systems. Numerical experiments illustrate the performance of the proposed techniques.

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          Most cited references31

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          All optimal Hankel-norm approximations of linear multivariable systems and theirL,∞-error bounds†

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            A Survey of Model Reduction by Balanced Truncation and Some New Results

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              Krylov Subspace Methods for Solving Large Lyapunov Equations

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                Author and article information

                Journal
                05 February 2019
                Article
                1902.01652
                05bbe7c9-df26-47f4-ad06-b079875abf14

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                23 pages, 4 figures
                math.NA

                Numerical & Computational mathematics
                Numerical & Computational mathematics

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