Name
Abstract | ||
|---|---|---|
In industrial weight-filling machines, containers are filled with the liquid stored in a tank by an electronically controlled valve. The weight is sensed through a load cell. We develop a learning algorithm that predicts the right closure time as a function of liquid pressure and temperature. The algorithm solves a non-convex robust regression problem and is based on a branch and bound approach in regressors space. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 22ND IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) | Load cell,Branch and bound,Control theory,Control engineering,Robust regression,Robustness (computer science),Prediction algorithms,Linear programming,Engineering,Adaptive control |
DocType | ISSN | Citations |
Conference | 1946-0740 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Denaro | 1 | 0 | 0.68 |
| Luca Consolini | 2 | 276 | 31.16 |
| Davide Buratti | 3 | 0 | 0.34 |