Set-membership identification of Hammerstein-Wiener systems

Cerone, Vito and Piga, Dario and Regruto, Diego Set-membership identification of Hammerstein-Wiener systems. In: Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC). IEEE, pp. 2819-2824. ISBN 978-1-61284-799-3 (2011)

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Abstract

Set-membership identification of Hammerstein-Wiener models is addressed in the paper. First, it is shown that computation of tight parameter bounds requires the solutions to a number of nonconvex constrained polynomial optimization problems where the number of decision variables increases with the length of the experimental data sequence. Then, a suitable convex relaxation procedure is presented to significantly reduce the computational burden of the identification problem. A detailed discussion of the identification algorithm properties is reported. Finally, a simulated example is used to show the effectiveness and the computational tractability of the proposed approach.

Item Type:	Book Section
Identification Number:	https://doi.org/10.1109/CDC.2011.6161172
Additional Information:	50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), held in Orlando USA), December 12-15, 2011
Uncontrolled Keywords:	Decision support systems; Noise; Optimization; Polynomials; Uncertain systems; Uncertainty; Vector
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area:	Computer Science and Applications
Depositing User:	Ms T. Iannizzi
Date Deposited:	09 Jan 2015 11:31
Last Modified:	09 Jan 2015 11:31
URI:	http://eprints.imtlucca.it/id/eprint/2445

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