Nonlinear system identification via basis functions based time domain volterra model

• Main Authors: Yazid, E., Liew, M.S., Parman, S., Kurian, V.J., Ng, C.Y.
• Format: Conference or Workshop Item
• Published: EDP Sciences 2014
• 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/

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...