TY - CHAP
T1 - On the initialisation of the recursive prediction error method for nonlinear system identification
AU - Flynn, Andrew
AU - Tsachouridis, Vassilios A.
AU - Amann, Andreas
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - The Recursive Prediction Error Method is widely used in nonlinear system identification and has been explored in considerable detail. However, the successful execution of the method relies on a suitable initialisation scheme. The aim of this research is to contribute to some fundamental issues concerning the initialisation of the method and therefore its ability to identify parameters of a nonlinear system. For a specific system, we identify regions in phase space, where nonlinear system identification is successful. More importantly, we also determine regions where identification fails and discuss these surprising results.
AB - The Recursive Prediction Error Method is widely used in nonlinear system identification and has been explored in considerable detail. However, the successful execution of the method relies on a suitable initialisation scheme. The aim of this research is to contribute to some fundamental issues concerning the initialisation of the method and therefore its ability to identify parameters of a nonlinear system. For a specific system, we identify regions in phase space, where nonlinear system identification is successful. More importantly, we also determine regions where identification fails and discuss these surprising results.
KW - Nonlinear Systems
KW - Recursive Prediction Error Methods
KW - System Identification
UR - https://www.scopus.com/pages/publications/85075945345
U2 - 10.1109/ISSC.2019.8904974
DO - 10.1109/ISSC.2019.8904974
M3 - Chapter
AN - SCOPUS:85075945345
T3 - 30th Irish Signals and Systems Conference, ISSC 2019
BT - 30th Irish Signals and Systems Conference, ISSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Irish Signals and Systems Conference, ISSC 2019
Y2 - 17 June 2019 through 18 June 2019
ER -