Orchestration of learning and execution of model predictive control tool for manufacturing processes
US10394229B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2017 |
| Grant date | Aug 27, 2019 |
| Priority date | — |
| Expiry date | Sep 27, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/32281
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.