Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022095068> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2022095068 endingPage "43" @default.
- W2022095068 startingPage "37" @default.
- W2022095068 abstract "Methods for nonlinear system identification are often classified, based on the employed model form, into parametric (nonlinear differential or difference equations) and nonparametric (functional expansions). These methods exhibit distinct sets of advantages and disadvantages that have motivated comparative studies and point to potential benefits from combined use. Fundamental to these studies are the mathematical relations between nonlinear differential (or difference, in discrete time) equations (NDE) and Volterra functional expansions (VFE) of the class of nonlinear systems for which both model forms exist, in continuous or discrete time. Considerable work has been done in obtaining the VFE's of a broad class of NDE's, which can be used to make the transition from nonparametric models (obtained from experimental input-output data) to more compact parametric models. This paper presents a methodology by which this transition can be made in discrete time. Specifically, a method is proposed for obtaining a parametric NARMAX (Nonlinear Auto-Regressive Moving-Average with exogenous input) model from Volterra kernels estimated by use of input-output data." @default.
- W2022095068 created "2016-06-24" @default.
- W2022095068 creator A5018248645 @default.
- W2022095068 creator A5036646017 @default.
- W2022095068 date "1998-03-01" @default.
- W2022095068 modified "2023-10-12" @default.
- W2022095068 title "Nonlinear parametric models from volterra kernels measurements" @default.
- W2022095068 cites W1975424366 @default.
- W2022095068 cites W1982585638 @default.
- W2022095068 cites W2057170382 @default.
- W2022095068 cites W2059288856 @default.
- W2022095068 cites W2065123596 @default.
- W2022095068 cites W2065802927 @default.
- W2022095068 cites W2069224171 @default.
- W2022095068 cites W2085304233 @default.
- W2022095068 cites W3010897586 @default.
- W2022095068 cites W4240172095 @default.
- W2022095068 doi "https://doi.org/10.1016/s0895-7177(98)00016-8" @default.
- W2022095068 hasPublicationYear "1998" @default.
- W2022095068 type Work @default.
- W2022095068 sameAs 2022095068 @default.
- W2022095068 citedByCount "12" @default.
- W2022095068 countsByYear W20220950682012 @default.
- W2022095068 countsByYear W20220950682014 @default.
- W2022095068 countsByYear W20220950682017 @default.
- W2022095068 countsByYear W20220950682018 @default.
- W2022095068 crossrefType "journal-article" @default.
- W2022095068 hasAuthorship W2022095068A5018248645 @default.
- W2022095068 hasAuthorship W2022095068A5036646017 @default.
- W2022095068 hasBestOaLocation W20220950681 @default.
- W2022095068 hasConcept C105795698 @default.
- W2022095068 hasConcept C117251300 @default.
- W2022095068 hasConcept C121332964 @default.
- W2022095068 hasConcept C158622935 @default.
- W2022095068 hasConcept C199343813 @default.
- W2022095068 hasConcept C2777686260 @default.
- W2022095068 hasConcept C2778532037 @default.
- W2022095068 hasConcept C28826006 @default.
- W2022095068 hasConcept C2983756050 @default.
- W2022095068 hasConcept C33923547 @default.
- W2022095068 hasConcept C41008148 @default.
- W2022095068 hasConcept C62520636 @default.
- W2022095068 hasConcept C71924100 @default.
- W2022095068 hasConceptScore W2022095068C105795698 @default.
- W2022095068 hasConceptScore W2022095068C117251300 @default.
- W2022095068 hasConceptScore W2022095068C121332964 @default.
- W2022095068 hasConceptScore W2022095068C158622935 @default.
- W2022095068 hasConceptScore W2022095068C199343813 @default.
- W2022095068 hasConceptScore W2022095068C2777686260 @default.
- W2022095068 hasConceptScore W2022095068C2778532037 @default.
- W2022095068 hasConceptScore W2022095068C28826006 @default.
- W2022095068 hasConceptScore W2022095068C2983756050 @default.
- W2022095068 hasConceptScore W2022095068C33923547 @default.
- W2022095068 hasConceptScore W2022095068C41008148 @default.
- W2022095068 hasConceptScore W2022095068C62520636 @default.
- W2022095068 hasConceptScore W2022095068C71924100 @default.
- W2022095068 hasIssue "5" @default.
- W2022095068 hasLocation W20220950681 @default.
- W2022095068 hasOpenAccess W2022095068 @default.
- W2022095068 hasPrimaryLocation W20220950681 @default.
- W2022095068 hasRelatedWork W1654377973 @default.
- W2022095068 hasRelatedWork W1988932928 @default.
- W2022095068 hasRelatedWork W2168591081 @default.
- W2022095068 hasRelatedWork W2234906875 @default.
- W2022095068 hasRelatedWork W2392561304 @default.
- W2022095068 hasRelatedWork W2392574720 @default.
- W2022095068 hasRelatedWork W2622290067 @default.
- W2022095068 hasRelatedWork W3141577587 @default.
- W2022095068 hasRelatedWork W3156223041 @default.
- W2022095068 hasRelatedWork W3141402476 @default.
- W2022095068 hasVolume "27" @default.
- W2022095068 isParatext "false" @default.
- W2022095068 isRetracted "false" @default.
- W2022095068 magId "2022095068" @default.
- W2022095068 workType "article" @default.