A General Direct Weight Optimization Framework for Nonlinear System Identification
2005 (English)In: Proceedings of the 16th IFAC World Congress, 2005, 29-29 p.Conference paper (Refereed)
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.
Non-parametric identification, Function approximation, Minimax techniques, Quadratic programming, Nonlinear systems, Mean-square error
Engineering and Technology Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-29533DOI: 10.3182/20050703-6-CZ-1902.00030Local ID: 14891ISBN: 978-3-902661-75-3OAI: oai:DiVA.org:liu-29533DiVA: diva2:250348
16th IFAC World Congress, Prague, Czech Republic, July, 2005