Nonparametric identification of nonlinear dynamic systems

A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentat...

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Autor principal:	Kenderi, Gábor
Format:	Online
Idioma:	anglès
Publicat:	KIT Scientific Publishing 2021
Matèries:	T1-995 nichtlineare dynamische System Kalman Filter nonlinear dynamic system nonparametric identification nichtparametrische Identifikation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Accés en línia:	34226
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