Machine-learning framework for testing feedback controller robustness
US11249891B1 · kind B1 · utility
2Cited by
1References
17Claims
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Key dates
| Filing date | Mar 22, 2021 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | Mar 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3604
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving a subject-matter expert (SME) interpretable model. The method further includes converting, by a processing device, the SME interpretable model into a functional mockup unit (FMU). The method further includes integrating the FMU into a control software project (CSP). The method further includes compiling the CSP into binary code.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.