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)
|
PDF (Pre-print version)
Download (139kB) | Preview |
Official URL: http://www.sciencedirect.com/science/article/pii/S...
Abstract
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 |
Actions (login required)
 |
Edit Item |
