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A data-driven approach to model-reference control with applications to particle accelerator power converters
A new model-reference data-driven approach is presented which uses the frequency response data of a system in order to avoid the problem of unmodeled dynamics associated with low-order parametric models. It is shown that a convex optimization problem can be formulated (in either the $_{\infty}, H_2,...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.conengprac.2018.10.007 http://cds.cern.ch/record/2816663 |