Cargando…
A data-driven approach to power converter control via convex optimization
A new model-reference data-driven approach is presented for synthesizing controllers for the CERN power converter control system. This method uses the frequency response function (FRF) of a system in order to avoid the problem of unmodeled dynamics associated with low-order parametric models. For th...
Autores principales: | Nicoletti, Achille, Martino, Michele, Karimi, Alireza |
---|---|
Lenguaje: | eng |
Publicado: |
2017
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1109/CCTA.2017.8062665 http://cds.cern.ch/record/2310123 |
Ejemplares similares
-
A data-driven approach to model-reference control with applications to particle accelerator power converters
por: Nicoletti, Achille, et al.
Publicado: (2019) -
Robust control of systems with sector nonlinearities via convex optimization: A data‐driven approach
por: Nicoletti, Achille, et al.
Publicado: (2018) -
A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters
por: Nicoletti, Achille, et al.
Publicado: (2019) -
A data driven high performance time to digital converter
por: Christiansen, J, et al.
Publicado: (2000) -
Data‐driven approach to iterative learning control via convex optimisation
por: Nicoletti, Achille, et al.
Publicado: (2020)