Controller training based on historical data
US11200489B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2018 |
| Grant date | Dec 14, 2021 |
| Priority date | — |
| Expiry date | Sep 18, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of generating a controller for a continuous process. The method includes receiving from a storage memory, off-line stored values of one or more controlled variables and one or more manipulated variables of the continuous process over a plurality of time points. The off-line stored values are used to train a first neural network to operate as a predictor of the controlled variables. Then, the method includes training a second neural network to operate as a controller of the continuous process using the first neural network after it was trained to operate as the predictor for the continuous process and employing the second neural network as a controller of the continuous process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.