Learning constitutive equations of physical components with constraints discovery
US11321504B2 · kind B2 · utility
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Key dates
| Filing date | May 9, 2018 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Apr 18, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The following relates generally to system modeling. Some embodiments described herein learn a representation of the parameter feasibility space that make model parameter tuning easier by constraining the search space, thus enabling physical interpretation of the learned model. They also enable model-based system analytics (controls, diagnosis, prognostics) by providing a system model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.