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• W2040244327 abstract "A new stability preserving model reduction algorithm for discrete linear SISO-systems based on a least squares approach is proposed. Similar to the Padé approximation, an equation system for the Markov parameters involving a high dimensional Hankel matrix is considered. It is proved that approximate solutions, computed via the Moore–Penrose pseudo-inverse, give rise to a stability preserving reduction scheme. Furthermore, the proposed algorithm is compared to the balanced truncation method, showing comparable performance of the reduced systems." @default.
• W2040244327 created "2016-06-24" @default.
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• W2040244327 date "2004-04-01" @default.
• W2040244327 modified "2023-09-30" @default.
• W2040244327 title "A least squares approach to reduce stable discrete linear systems preserving their stability" @default.
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• W2040244327 doi "https://doi.org/10.1016/j.laa.2003.11.010" @default.
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