Name
Title | ||
|---|---|---|
A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters. |
Abstract | ||
|---|---|---|
A new data-driven approach using the frequency response function (FRF) of a system is proposed for designing robust-fixed structure digital controllers for particle accelerators' power converters. This design method ensures that the dynamics of a system are captured and avoid the problem of unmodeled dynamics associated with parametric models. The H∞ robust performance condition can be represented... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCST.2017.2783346 | IEEE Transactions on Control Systems Technology |
Keywords | Field | DocType |
Robustness,Uncertainty,Biological system modeling,Frequency-domain analysis,Design methodology,Optimization,Frequency control | Frequency domain,Control theory,Parametric model,Frequency response,Control theory,Converters,Control engineering,Robustness (computer science),Robust statistics,Automatic frequency control,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 2 | 1063-6536 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Achille Nicoletti | 1 | 0 | 0.68 |
| Michele Martino | 2 | 16 | 5.27 |
| A. Karimi | 3 | 289 | 40.41 |