文章基本信息

标题：Studying the complexity of identification of Volterra kernels for the case of a vector input signal of arbitrary dimension
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作者：Ekaterina Antipina ; Emir Tairov ; Evgeniia Markova 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2020
卷号：209
页码：1-4
DOI：10.1051/e3sconf/202020903004
出版社：EDP Sciences
摘要：The work discusses the technique for constructing an integral model of a nonlinear dynamic system with a vector input based on Volterra polynomials as applied to a section of the steam-water path of the power unit of the Nazarovo power station. The complexity of the applying the technique presented in the work is analyzed, and the number of initial data required to build a mathematical model in the case of a vector input disturbance with an arbitrary dimension is calculated.
关键词：Volterra polynomials ; identification ; dynamic system ; initial data