On-line learning of dynamical systems in the presence of model mismatch and disturbances

This paper is concerned with the online learning of unknown dynamical systems using a recurrent neural network. The unknown dynamic systems to be learned are subject to disturbances and possibly unstable. The neural-network model used has a simple architecture with one layer of adaptive connection w...

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Vydané v:	IEEE transactions on neural networks Ročník 11; číslo 6; s. 1272 - 1283
Hlavní autori:	Jiang, D, Wang, J
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.11.2000
Predmet:	Artificial neural networks Backpropagation algorithms Computer networks Convergence Cost function Disturbances Dynamical systems Dynamics Errors Function approximation Intelligent networks Learning Multi-layer neural network Neural networks On-line systems Recurrent neural networks
ISSN:	1045-9227
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