Title :
Improved approximate identification of nonlinear systems
Author :
Schoukens, J. ; Rolain, Y. ; Pintelon, R. ; Van Gheem, E. ; Pauwels, L.
Author_Institution :
ELEC, Vrije Univ., Brussels, Belgium
Abstract :
In this paper a method is presented to build approximate models for nonlinear systems. The basic idea is to extend the linear identification approach by a well chosen nonlinear block structured model that can be easily identified using the same data that were used for the linear identification step.
Keywords :
continuous time systems; discrete time systems; identification; modelling; nonlinear dynamical systems; optimisation; approximate models; continuous time dynamic system; discrete time dynamic system; improved approximate identification; improved optimization technique; nonlinear block structured model; nonlinear systems; short time dynamic nonlinearities; single-input single-output system; Feedback; Frequency domain analysis; Government; Iterative methods; Machinery; Neural networks; Nonlinear dynamical systems; Nonlinear systems; Packaging; Power system modeling;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351523
