Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019496442> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2019496442 abstract "In this article, an algorithm to identify LPV State Space models for both continuous-time and discrete-time systems is proposed. The LPV state space system is in the Companion Reachable Canonical Form. The output vector coefficients are linear combinations of a set of a possibly infinite number of nonlinear basis functions dependent on the scheduling signal, the state matrix is either time invariant or a linear combination of a finite number of basis functions of the scheduling signal and the input vector is time invariant. This model structure, although simple, can describe accurately the behaviour of many nonlinear SISO systems by an adequate choice of the scheduling signal. It also partially solves the problems of structural bias caused by inaccurate selection of the basis functions and high variance of the estimates due to over-parameterisation. The use of an infinite number of basis functions in the output vector increases the flexibility to describe complex functions and makes it possible to learn the underlying dependencies of these coefficients from the data. A Least Squares Support Vector Machine (LS-SVM) approach is used to address the infinite dimension of the output coefficients. Since there is a linear dependence of the output on the output vector coefficients and, on the other hand, the LS-SVM solution is a nonlinear function of the state and input matrix coefficients, the LPV system is identified by minimising a quadratic function of the output function in a reduced parameter space; the minimisation of the error is performed by a separable approach where the parameters of the fixed matrices are calculated using a gradient method. The derivatives required by this algorithm are the output of either an LTI or an LPV (in the case of a time-varying SS matrix) system, that need to be simulated at every iteration. The effectiveness of the algorithm is assessed on several simulated examples." @default.
- W2019496442 created "2016-06-24" @default.
- W2019496442 creator A5031271819 @default.
- W2019496442 creator A5033536442 @default.
- W2019496442 creator A5043373481 @default.
- W2019496442 creator A5055574850 @default.
- W2019496442 creator A5056116996 @default.
- W2019496442 creator A5056944496 @default.
- W2019496442 date "2014-12-01" @default.
- W2019496442 modified "2023-09-26" @default.
- W2019496442 title "LPV system identification using a separable least squares support vector machines approach" @default.
- W2019496442 cites W1533872298 @default.
- W2019496442 cites W1989127700 @default.
- W2019496442 cites W2006910853 @default.
- W2019496442 cites W2062956290 @default.
- W2019496442 cites W2084026104 @default.
- W2019496442 cites W2103667409 @default.
- W2019496442 cites W2112242941 @default.
- W2019496442 cites W2122066369 @default.
- W2019496442 cites W2125230037 @default.
- W2019496442 cites W2180296759 @default.
- W2019496442 cites W2245176828 @default.
- W2019496442 doi "https://doi.org/10.1109/cdc.2014.7039778" @default.
- W2019496442 hasPublicationYear "2014" @default.
- W2019496442 type Work @default.
- W2019496442 sameAs 2019496442 @default.
- W2019496442 citedByCount "9" @default.
- W2019496442 countsByYear W20194964422015 @default.
- W2019496442 countsByYear W20194964422016 @default.
- W2019496442 countsByYear W20194964422017 @default.
- W2019496442 countsByYear W20194964422019 @default.
- W2019496442 countsByYear W20194964422020 @default.
- W2019496442 countsByYear W20194964422021 @default.
- W2019496442 crossrefType "proceedings-article" @default.
- W2019496442 hasAuthorship W2019496442A5031271819 @default.
- W2019496442 hasAuthorship W2019496442A5033536442 @default.
- W2019496442 hasAuthorship W2019496442A5043373481 @default.
- W2019496442 hasAuthorship W2019496442A5055574850 @default.
- W2019496442 hasAuthorship W2019496442A5056116996 @default.
- W2019496442 hasAuthorship W2019496442A5056944496 @default.
- W2019496442 hasConcept C11413529 @default.
- W2019496442 hasConcept C119247159 @default.
- W2019496442 hasConcept C121332964 @default.
- W2019496442 hasConcept C12267149 @default.
- W2019496442 hasConcept C126255220 @default.
- W2019496442 hasConcept C134306372 @default.
- W2019496442 hasConcept C154945302 @default.
- W2019496442 hasConcept C158622935 @default.
- W2019496442 hasConcept C2775924081 @default.
- W2019496442 hasConcept C2777798563 @default.
- W2019496442 hasConcept C28826006 @default.
- W2019496442 hasConcept C33923547 @default.
- W2019496442 hasConcept C41008148 @default.
- W2019496442 hasConcept C47446073 @default.
- W2019496442 hasConcept C5917680 @default.
- W2019496442 hasConcept C62520636 @default.
- W2019496442 hasConcept C67186912 @default.
- W2019496442 hasConcept C6802819 @default.
- W2019496442 hasConcept C70710897 @default.
- W2019496442 hasConcept C74650414 @default.
- W2019496442 hasConcept C77088390 @default.
- W2019496442 hasConceptScore W2019496442C11413529 @default.
- W2019496442 hasConceptScore W2019496442C119247159 @default.
- W2019496442 hasConceptScore W2019496442C121332964 @default.
- W2019496442 hasConceptScore W2019496442C12267149 @default.
- W2019496442 hasConceptScore W2019496442C126255220 @default.
- W2019496442 hasConceptScore W2019496442C134306372 @default.
- W2019496442 hasConceptScore W2019496442C154945302 @default.
- W2019496442 hasConceptScore W2019496442C158622935 @default.
- W2019496442 hasConceptScore W2019496442C2775924081 @default.
- W2019496442 hasConceptScore W2019496442C2777798563 @default.
- W2019496442 hasConceptScore W2019496442C28826006 @default.
- W2019496442 hasConceptScore W2019496442C33923547 @default.
- W2019496442 hasConceptScore W2019496442C41008148 @default.
- W2019496442 hasConceptScore W2019496442C47446073 @default.
- W2019496442 hasConceptScore W2019496442C5917680 @default.
- W2019496442 hasConceptScore W2019496442C62520636 @default.
- W2019496442 hasConceptScore W2019496442C67186912 @default.
- W2019496442 hasConceptScore W2019496442C6802819 @default.
- W2019496442 hasConceptScore W2019496442C70710897 @default.
- W2019496442 hasConceptScore W2019496442C74650414 @default.
- W2019496442 hasConceptScore W2019496442C77088390 @default.
- W2019496442 hasLocation W20194964421 @default.
- W2019496442 hasOpenAccess W2019496442 @default.
- W2019496442 hasPrimaryLocation W20194964421 @default.
- W2019496442 hasRelatedWork W1968792823 @default.
- W2019496442 hasRelatedWork W2008072799 @default.
- W2019496442 hasRelatedWork W2080678919 @default.
- W2019496442 hasRelatedWork W2083596776 @default.
- W2019496442 hasRelatedWork W2092849364 @default.
- W2019496442 hasRelatedWork W2123766446 @default.
- W2019496442 hasRelatedWork W2135217555 @default.
- W2019496442 hasRelatedWork W2164554214 @default.
- W2019496442 hasRelatedWork W2171331836 @default.
- W2019496442 hasRelatedWork W2436846548 @default.
- W2019496442 isParatext "false" @default.
- W2019496442 isRetracted "false" @default.
- W2019496442 magId "2019496442" @default.
- W2019496442 workType "article" @default.