恰当 发表于 2025-3-21 19:47:01

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Entirety 发表于 2025-3-21 22:46:55

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按等级 发表于 2025-3-22 01:12:15

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溃烂 发表于 2025-3-22 07:37:59

SVD-based subspace methods for multivariable continuous-time systems identification,SVD), a numerical technique known to be very robust and accurate when dealing with noisy data. The noise coloring is compensated for by using a generalization of the SVD, namely the quotient SVD. The resulting identification scheme is then shown to give consistent results under certain conditions.

甜瓜 发表于 2025-3-22 12:36:18

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无思维能力 发表于 2025-3-22 15:05:22

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ENNUI 发表于 2025-3-22 18:17:54

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Overstate 发表于 2025-3-22 21:41:26

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OVER 发表于 2025-3-23 03:37:17

Transformation of discrete-time models,t are already well established. Here, our emphasis is on transformations which will lead to a suitable continuous-time model from the identified discrete-time model. Several algorithms for such transformation are critically compared. Finally, a straightforward procedure for determining a continuous-time model from the δ-model is described.

商议 发表于 2025-3-23 08:55:14

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查看完整版本: Titlebook: Identification of Continuous-Time Systems; Methodology and Comp N. K. Sinha,G. P. Rao Book 1991 Springer Science+Business Media Dordrecht 1