Cargando…
A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization
The objective of this dissertation is to develop data-driven frequency-domain methods for designing robust controllers through the use of convex optimization algorithms. Many of today's industrial processes are becoming more complex, and modeling accurate physical models for these plants using...
Autor principal: | Nicoletti, Achille |
---|---|
Lenguaje: | eng |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2306694 |
Ejemplares similares
-
Robust control of systems with sector nonlinearities via convex optimization: A data‐driven approach
por: Nicoletti, Achille, et al.
Publicado: (2018) -
A data-driven approach to power converter control via convex optimization
por: Nicoletti, Achille, et al.
Publicado: (2017) -
Data‐driven approach to iterative learning control via convex optimisation
por: Nicoletti, Achille, et al.
Publicado: (2020) -
Handbook of convex optimization methods in imaging science
por: Monga, Vishal
Publicado: (2017) -
A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters
por: Nicoletti, Achille, et al.
Publicado: (2019)