文章基本信息

标题：An optimal instrumental variable approach for continuous-time multiple input-single output fractional model identification
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作者：Abir Mayoufi ; Stéphane Victor ; Rachid Malti 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：3701-3706
DOI：10.1016/j.ifacol.2020.12.2055
语种：English
出版社：Elsevier
摘要：AbstractThis paper proposes an instrumental variable approach for continuous-time system identification using fractional models with multiple input single output context. This work is an extension of the simplified refined instrumental variable approach (srivcf ) developed for single input-single output fractional model identification (Malti et al. (2008a); Victor et al. (2013)) to the multiple input-single output case. Monte Carlo simulation analysis is used to demonstrate the performance of the proposed approach. A study is then provided to motivate differentiation order estimation, and more specifically, commensurate order estimation.
关键词：Keywordssystem identificationcontinuous-timeinstrumental variablemultiple inputsstate variable filterfractional model