Separate initialization of dynamics and nonlinearities in nonlinear state-space models
Paper i proceeding, 2012

This work focuses on the identification of nonlinear dynamic systems. In particular the problem of obtaining good starting values for the identification of nonlinear state-space models is addressed. A fast and efficient initialization algorithm is proposed, combining the use of methods from the statistical learning community to model the nonlinearities and classic system identification tools to capture system dynamics. The performance of the method is evaluated on simulation examples.


A. Marconato

Vrije Universiteit Brüssel (VUB)

Jonas Sjöberg

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

J. Suykens

KU Leuven

J. Schoukens

Vrije Universiteit Brüssel (VUB)

2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings

2104-2108 6229167


Elektroteknik och elektronik