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SSD -- Software for Systems with Delays: Reproducible Examples and Benchmarks on Model Reduction and H2 Norm Computation

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arxiv 2208.11827 v1 pith:5VXHNYZW submitted 2022-08-25 math.OC cs.SYeess.SY

classification math.OCcs.SYeess.SY
keywords reductionsystemscomputationdelaymatlabmodelnormavailable
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We present SSD, Software for Systems with Delays, a de novo MATLAB package for the analysis and model reduction of retarded time delay systems (RTDS). Underneath, our delay system object bridges RTDS representation and Linear Fractional Transformation (LFT) representation of MATLAB. This allows seamless use of many available visualizations of MATLAB. In addition, we implemented a set of key functionalities such as H2 norm and system gramian computations, balanced realization and reduction by direct integral definitions and utilizing sparse computation. As a theoretical contribution, we extend the frequency-limited balanced reduction to delay systems first time, propose a computational algorithm and give its implementation. We collected two sets of benchmark problems on H2 norm computation and model reduction. SSD is publicly available in GitHub at https://github.com/gumussoysuat/ssd. Our reproducible paper and two benchmark collections are shared as executable notebooks.

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