暴发户 发表于 2025-3-23 12:59:06
Book 2022ot of time and avoid collecting the scattered information from research papers, reports and unpublished work. Besides, it is a self-contained book by including essential algebraic, system and optimization theories, which can help graduate students enter the amazing blind system identification world with less effort..我的巨大 发表于 2025-3-23 14:32:22
,Lernen aus Büchern, lernen im Leben,tem model is another factor that may cause the challenge of the blind system identification, based on which the main content of the book is separated into two parts, namely the blind system identification with a single unknown input and the blind system identification with multiple unknown inputs.繁重 发表于 2025-3-23 20:41:17
https://doi.org/10.1007/978-3-662-08363-5s), where a complex identification task is performed by local information exchange among neighboring nodes. In other words, a computationally demanding blind identification problem shall be handled by the cooperation of a number of “cheap” computational platforms.Obvious 发表于 2025-3-23 23:38:04
http://reply.papertrans.cn/19/1892/189147/189147_14.png聪明 发表于 2025-3-24 03:41:19
Organisation des Lernprozesses,ion challenges. Although the blind identification of multi-channel state-space models has been investigated in Chap. ., it relies on the special SIMO structure of the system model. As an extension, the blind identification of structured state-space model will be investigated in this chapter.填料 发表于 2025-3-24 10:35:19
http://reply.papertrans.cn/19/1892/189147/189147_16.png管理员 发表于 2025-3-24 12:55:23
http://reply.papertrans.cn/19/1892/189147/189147_17.pngCondescending 发表于 2025-3-24 17:58:10
https://doi.org/10.1007/978-3-662-08363-5ut system model, due to the lack of structural properties in the spatial domain, it is difficult and even impossible to separate the system dynamics and the system input. Consider the following SISO system model织物 发表于 2025-3-24 20:51:33
http://reply.papertrans.cn/19/1892/189147/189147_19.png心神不宁 发表于 2025-3-25 00:35:16
Blind Identification of SISO IIR Systems via Oversamplingut system model, due to the lack of structural properties in the spatial domain, it is difficult and even impossible to separate the system dynamics and the system input. Consider the following SISO system model