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https://scidar.kg.ac.rs/handle/123456789/11419
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Поље DC-а | Вредност | Језик |
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dc.rights.license | restrictedAccess | - |
dc.contributor.author | Filipovic, Vojislav | - |
dc.date.accessioned | 2021-04-20T18:18:39Z | - |
dc.date.available | 2021-04-20T18:18:39Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 0924-090X | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/11419 | - |
dc.description.abstract | © 2017, Springer Science+Business Media B.V. This paper considers the robust recursive stochastic gradient algorithm for identification of multivariable Hammerstein model with a static nonlinear block in polynomial form and a linear block described by output-error model. The algorithm is designed for unknown parameters in vector form. It is assumed that there is a priori information about a distribution class to which a real disturbance belongs. Such class of distributions describes the presence of outliers in observations. The main contributions of the paper are: (i) design of robust stochastic approximation algorithm for MIMO Hammerstein models using robust statistics (Huber’s theory); (ii) design of general form of nonlinear block; (iii) a strong consistency of estimated parameter whereby proof is based on martingale theory, generalized strictly positive real condition and persistent excitation condition. The properties of algorithm are illustrated by simulations. | - |
dc.rights | info:eu-repo/semantics/restrictedAccess | - |
dc.source | Nonlinear Dynamics | - |
dc.title | Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models | - |
dc.type | article | - |
dc.identifier.doi | 10.1007/s11071-017-3736-2 | - |
dc.identifier.scopus | 2-s2.0-85027992065 | - |
Налази се у колекцијама: | Faculty of Mechanical and Civil Engineering, Kraljevo |
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PaperMissing.pdf Ограничен приступ | 29.86 kB | Adobe PDF | ![]() Погледајте |
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