朴素 发表于 2025-3-23 13:16:59

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staging 发表于 2025-3-23 15:56:38

https://doi.org/10.1007/978-1-4613-0465-4Matlab; Signal; algebra; algorithm; dynamical systems; manufacturing; mechatronics; model; optimal control; p

jettison 发表于 2025-3-23 19:47:17

Deterministic Identification,In this Chapter we treat the subspace identification of purely deterministic systems, with no measurement nor process noise (vk ≡ wk ≡ 0 in Figure 1.4). We treat this problem for two reasons:

任意 发表于 2025-3-23 23:23:18

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STENT 发表于 2025-3-24 02:41:48

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闷热 发表于 2025-3-24 08:13:09

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Complement 发表于 2025-3-24 14:27:54

978-1-4613-8061-0Kluwer Academic Publishers 1996

加剧 发表于 2025-3-24 15:38:32

Combined Deterministic-Stochastic Identification,d the process and measurement noise w. and v. are different from zero. We use the results and ideas of the two previous Chapters to derive the main Theorem, which indicates how the combined deterministic-stochastic Kalman filter states can be extracted from the input-output data.

Immunization 发表于 2025-3-24 19:40:36

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Truculent 发表于 2025-3-25 01:50:25

sights. .The .implementation. of subspace identification algorithms isdiscussed in terms of the robust and computationally efficient RQ andsingular value decompositions, which are well-established algorithmsfrom numerical linear algebra. The algorithms are implemented incombination with a whole set of classic978-1-4613-8061-0978-1-4613-0465-4
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查看完整版本: Titlebook: Subspace Identification for Linear Systems; Theory — Implementat Peter Overschee,Bart Moor Book 1996 Kluwer Academic Publishers 1996 Matlab