Nonlinear dynamical system identification using unscented Kalman filter

Kalman Filter is the most suitable choice for linear state space and Gaussian error distribution from decades. In general practical systems are not linear and Gaussian so these assumptions give inconsistent results. System Identification for nonlinear dynamical systems is a difficult task to perform...

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Bibliographic Details
Main Authors: Rehman, M.J.U., Dass, S.C., Asirvadam, V.S.
Format: Conference or Workshop Item
Published: American Institute of Physics Inc. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005982804&doi=10.1063%2f1.4968052&partnerID=40&md5=1ec8ef8fd2abdc8a50f1131227abb3c5
http://eprints.utp.edu.my/30637/
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