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A General Direct Weight Optimization Framework for Nonlinear System Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Institute of Control Sciences, Russia.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2005 (English)In: Proceedings of the 16th IFAC World Congress, 2005, 29-29 p.Conference paper, Published paper (Refereed)
Abstract [en]

The direct weight optimization (DWO) approach is a method for finding optimal function estimates via convex optimization, applicable to nonlinear system identification. In this paper, an extended version of the DWO approach is introduced. A general function class description --- which includes several important special cases --- is presented, and different examples are given. A general theorem about the principal shape of the weights is also proven.

Place, publisher, year, edition, pages
2005. 29-29 p.
Keyword [en]
Non-parametric identification, Function approximation, Minimax techniques, Quadratic programming, Nonlinear systems, Mean-square error
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-29533DOI: 10.3182/20050703-6-CZ-1902.00030Local ID: 14891ISBN: 978-3-902661-75-3 (print)OAI: oai:DiVA.org:liu-29533DiVA: diva2:250348
Conference
16th IFAC World Congress, Prague, Czech Republic, July, 2005
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-03-22

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Roll, JacobLjung, Lennart

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