Neural networks as on-line approximators of nonlinear systems
dc.contributor.author | Polycarpou, Marios M. | en |
dc.contributor.author | Ioannou, P. A. | en |
dc.creator | Polycarpou, Marios M. | en |
dc.creator | Ioannou, P. A. | en |
dc.date.accessioned | 2019-04-08T07:47:57Z | |
dc.date.available | 2019-04-08T07:47:57Z | |
dc.date.issued | 1992 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/44670 | |
dc.source | 1992] Proceedings of the 31st IEEE Conference on Decision and Control | en |
dc.subject | Modeling | en |
dc.subject | Feedforward neural networks | en |
dc.subject | Artificial neural networks | en |
dc.subject | Neural networks | en |
dc.subject | Mathematical model | en |
dc.subject | Neural nets | en |
dc.subject | Identification | en |
dc.subject | Stability | en |
dc.subject | Upper bound | en |
dc.subject | Neural network | en |
dc.subject | Approximation methods | en |
dc.subject | Approximation theory | en |
dc.subject | Backpropagation algorithms | en |
dc.subject | Discrete-time dynamical systems | en |
dc.subject | Discrete-time formulation | en |
dc.subject | Ear | en |
dc.subject | Linearly parametrized networks | en |
dc.subject | Nonlinear dynamical systems | en |
dc.subject | Nonlinear systems | en |
dc.subject | Nonlinearly parametrized networks | en |
dc.subject | Online approximation | en |
dc.subject | Power system modeling | en |
dc.title | Neural networks as on-line approximators of nonlinear systems | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/CDC.1992.371802 | |
dc.description.startingpage | 7 | |
dc.description.endingpage | 12 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Polycarpou, Marios M. [0000-0001-6495-9171] | |
dc.gnosis.orcid | 0000-0001-6495-9171 |
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