Modeling and Control with Local Linearizing Nadaraya Watson Regression

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dc.creatorKühn, Steffen
dc.creatorGühmann, Clemens
dc.date2008-09-22
dc.date.accessioned2026-07-07T10:04:24Z
dc.date.available2026-07-07T10:04:24Z
dc.descriptionBlack box models of technical systems are purely descriptive. They do not explain why a system works the way it does. Thus, black box models are insufficient for some problems. But there are numerous applications, for example, in control engineering, for which a black box model is absolutely sufficient. In this article, we describe a general stochastic framework with which such models can be built easily and fully automated by observation. Furthermore, we give a practical example and show how this framework can be used to model and control a motorcar powertrain.
dc.description13 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/0809.3690
dc.identifierhttp://arxiv.org/abs/0809.3690
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/169664
dc.subjectComputer Vision and Pattern Recognition
dc.titleModeling and Control with Local Linearizing Nadaraya Watson Regression
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