朴素 发表于 2025-3-23 13:16:59
http://reply.papertrans.cn/89/8814/881386/881386_11.pngstaging 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; pjettison 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
http://reply.papertrans.cn/89/8814/881386/881386_14.pngSTENT 发表于 2025-3-24 02:41:48
http://reply.papertrans.cn/89/8814/881386/881386_15.png闷热 发表于 2025-3-24 08:13:09
http://reply.papertrans.cn/89/8814/881386/881386_16.pngComplement 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
http://reply.papertrans.cn/89/8814/881386/881386_19.pngTruculent 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