文章基本信息

标题：Identification of Nonlinearly Parameterized Nonlinear Dissipative Systems
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作者：Rafael Cisneros ; Romeo Ortega
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：12
页码：79-84
DOI：10.1016/j.ifacol.2022.07.291
语种：English
出版社：Elsevier
摘要：AbstractIn this note, we address the problem of parameter identification of nonlinear, input affinedissipativesystems. It is assumed that the supply rate, the storage and the internal dissipation functions may be expressed asnonlinearly parameterizedregression equations where the mappings (depending on the unknown parameters) satisfy amonotonicitycondition—this encompasses a large class of physical systems, including passive systems. We propose to estimate the system parameters using the “power-balance” equation, which is the differential version of the classical dissipation inequality, with a new estimator that ensures global, exponential, parameter convergence under the very weak assumption ofinterval excitationof the power-balance equation regressor. The benefits of the proposed approach are illustrated with an example.
关键词：KeywordsIndirect adaptive controlDissipative systemsAdaptive systems