Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2013.6565139
DC FieldValue
dc.titleRobust identification of piecewise affine systems from noisy data
dc.contributor.authorYang, Y.
dc.contributor.authorXiang, C.
dc.contributor.authorLee, T.H.
dc.date.accessioned2014-04-24T08:37:28Z
dc.date.available2014-04-24T08:37:28Z
dc.date.issued2013
dc.identifier.citationYang, Y., Xiang, C., Lee, T.H. (2013). Robust identification of piecewise affine systems from noisy data. IEEE International Conference on Control and Automation, ICCA : 646-651. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2013.6565139
dc.identifier.isbn9781467347075
dc.identifier.issn19483449
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51243
dc.description.abstractIn this paper, we focus on the identification of discrete-time piecewise affine (PWA) systems from noisy data. This problem consists of the estimation of both the local affine subsystems and the partition of the regression space. A two-stage robust identification approach is proposed to estimate the local affine subsystems in the presence of noise. This approach includes an optimization-based initial estimation process and a least-squares-based refinement procedure. In addition, to estimate the partition of the regression space for continuous dynamic PWA systems, an intersection approach is proposed as an alternative to the widely used pattern recognition approaches. Simulation studies demonstrate the effectiveness of the two-stage identification approach and the intersection approach in noisy case. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCA.2013.6565139
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICCA.2013.6565139
dc.description.sourcetitleIEEE International Conference on Control and Automation, ICCA
dc.description.page646-651
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.