Estimating disturbances and model uncertainty in model validation for robust control

T.A.E. Oomen, O.H. Bosgra

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

15 Citaten (Scopus)
91 Downloads (Pure)

Samenvatting

Deterministic approaches to model validation for robust control are investigated. In common deterministic model validation approaches, a trade-off between disturbances and model uncertainty is present, resulting in an ill-posed problem. In this paper, an approach to model validation is presented that attempts to remedy the ill-posedness. By employing accurate, non-parametric, deterministic disturbance models in conjunction with enforcing averaging properties of deterministic disturbances, a novel framework enabling model validation for robust control is obtained. The approach results in a realistically estimated model uncertainty and a disturbance model, and is illustrated in a simulation example.
Originele taal-2Engels
TitelProceedings of the 47th IEEE Conference on Decision and Control (CDC 2008) : Mexico, Cancún, 9 - 11 December 2008
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's5513-5518
ISBN van geprinte versie978-1-4244-3123-6
DOI's
StatusGepubliceerd - 2008

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  • Citeer dit

    Oomen, T. A. E., & Bosgra, O. H. (2008). Estimating disturbances and model uncertainty in model validation for robust control. In Proceedings of the 47th IEEE Conference on Decision and Control (CDC 2008) : Mexico, Cancún, 9 - 11 December 2008 (blz. 5513-5518). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2008.4738592