System identification algorithm for non-uniformly sampled data

System identification algorithm for non-uniformly sampled data

Considerable effort has been devoted to the development of algorithms for identification of parsimonious discrete time models from noisy input/output data sets since this facilitates controller design. Several methods, such as nuclear norm minimization, have been used to provide approximate solution...

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書目詳細資料
Main Authors:	Bekiroglu, Korkut, Lagoa, Constantino, Lanza, Stephanie T., Sznaier, Mario
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2018
主題:	Non-uniformly Sampled Data Continuous Time System Identification DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/87829 http://hdl.handle.net/10220/46832
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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