Method and apparatus for training a system model with gain constraints
US7058617B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2000 |
| Grant date | Jun 6, 2006 |
| Priority date | — |
| Expiry date | Jan 3, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B17/02
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Method and apparatus for training a system model with gain constraints. A method is disclosed for training a steady-state model, the model having an input and an output and a mapping layer for mapping the input to the output through a stored representation of a system. A training data set is provided having a set of input data u(t) and target output data y(t) representative of the operation of a system. The model is trained with a predetermined training algorithm which is constrained to maintain the sensitivity of the output with respect to the input substantially within user defined constraint bounds by iteratively minimizing an objective function as a function of a data objective and a constraint objective. The data objective has a data fitting learning rate and the constraint objective has constraint learning rate that are varied as a function of the values of the data objective and the constraint objective after selective iterative steps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.