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A convex relaxation approach to set-membership identification of LPV systems

Cerone, Vito and Piga, Dario and Regruto, Diego A convex relaxation approach to set-membership identification of LPV systems. Automatica, 49 (9). 2853 - 2859. ISSN 0005-1098 (2013)

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Abstract Identification of linear parameter varying models is considered in this paper, under the assumption that both the output and the scheduling parameter measurements are affected by bounded noise. First, the problem of computing parameter uncertainty intervals is formulated in terms of nonconvex optimization. Then, on the basis of the analysis of the regressor structure, we present an ad hoc convex relaxation scheme for computing parameter bounds by means of semidefinite optimization.

Item Type: Article
Identification Number: 10.1016/j.automatica.2013.05.028
Uncontrolled Keywords: Bounded-error identification; Convex relaxation; Linear parameter varying; LMI relaxation; Parameter bounds
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 13 Jan 2015 14:12
Last Modified: 13 Jan 2015 14:12
URI: http://eprints.imtlucca.it/id/eprint/2473

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