Nonlinear system identification via basis functions based time domain volterra model
This paper proposes basis functions based time domain Volterra model for nonlinear system identification. The Volterra kernels are expanded by using complex exponential basis functions and estimated via genetic algorithm (GA). The accuracy and practicability of the proposed method are then assessed...
| Main Authors: | Yazid, E., Liew, M.S., Parman, S., Kurian, V.J., Ng, C.Y. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32258 / |
| Published: |
EDP Sciences
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904994059&doi=10.1051%2fmatecconf%2f20141302031&partnerID=40&md5=bf5c5cde61e94f06adf5713ccd61d418 http://eprints.utp.edu.my/32258/ |
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