Direct Weight Optimization Applied to Discontinuous Functions
2008 (English)In: 47th IEEE Conference on Decision and Control, 2008. CDC 2008, IEEE , 2008, 117-122 p.Conference paper (Refereed)
The Direct Weight Optimization (DWO) approach is a nonparametric estimation approach that has appeared in recent years within the field of nonlinear system identification. In previous work, all function classes for which DWO has been studied have included only continuous functions. However, in many applications it would be desirable also to be able to handle discontinuous functions. Inspired by the bilateral filter method from image processing, such an extension of the DWO framework is proposed for the smoothing problem. Examples show that the properties of the new approach regarding the handling of discontinuities are similar to the bilateral filter, while at the same time DWO offers a greater flexibility with respect to different function classes handled.
Place, publisher, year, edition, pages
IEEE , 2008. 117-122 p.
, IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216
Function estimation, Non-parametric identification, Discontinuous functions
Control Engineering Biomedical Laboratory Science/Technology
IdentifiersURN: urn:nbn:se:liu:diva-60135DOI: 10.1109/CDC.2008.4738761ISI: 000307311600020ISBN: 978-1-4244-3123-6ISBN: e-978-1-4244-3124-3OAI: oai:DiVA.org:liu-60135DiVA: diva2:355251
47th IEEE Conference on Decision and Control, Cancun, Mexico, December, 2008