Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines

We propose and develop SG-ELM, a stable online learning algorithm based on stochastic gradients and Extreme Learning Machines (ELM). We propose SG-ELM particularly for systems that are required to be stable during learning; i.e., the estimated model parameters remain bounded during learning. We use...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 177; no. C; pp. 304 - 316
Main Authors:	Janakiraman, Vijay Manikandan, Nguyen, XuanLong, Assanis, Dennis
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 12.02.2016 Elsevier
Subjects:	Engine control Extreme learning machine Lyapunov stability Online learning Operating envelope System identification Lyapunov stability Operating envelope Engine control System identification Extreme learning machine Online learning
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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