Title :
Properties of higher order correlation function tests for nonlinear model validation
Author :
Zhu, Q.M. ; Billings, S.A.
Author_Institution :
Dept. of Electr. & Mech. Eng., Aston Univ., Birmingham, UK
Abstract :
Problems related to nonlinear model validation are addressed and properties associated with nonlinear detection, diagnostic power and asymptotic correction are analysed
Keywords :
correlation methods; identification; nonlinear systems; asymptotic correction; diagnostic power; higher order correlation function tests; nonlinear detection; nonlinear model validation; systems theory; Data engineering; Neural networks; Parameter estimation; Parametric statistics; Power system modeling; Statistical analysis; Statistical distributions; Systems engineering and theory; Testing; Vectors;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3932-0
DOI :
10.1109/IECON.1997.671067
