Identification of nonlinear MIMO Lagrange systems using neural networks with guaranteed persistency of excitation

Motivated by learning methods in previous years and by the recent works in the control literature being done to tackle the problem of identifying nonlinear parts of unknown system dynamics, an effort is presented in this thesis to identify nonlinearities of systems, following Lagrange dynamics, in a...

Πλήρης περιγραφή

Κύριοι συγγραφείς:	Σαμάνης, Αναγνώστης, Samanis, Anagnostis
Άλλοι συγγραφείς:	Κυριακόπουλος, Κωνσταντίνος
Μορφή:	masterThesis
Γλώσσα:	English
Έκδοση:	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών 2016
Θέματα:	Neural Networks Persistency of excitation System identification Radial Basis Functions Adaptive Control
Διαθέσιμο Online:	http://dspace.lib.ntua.gr/handle/123456789/42495

Identification of nonlinear MIMO Lagrange systems using neural networks with guaranteed persistency of excitation

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