Process optimization by grouping mixed integer nonlinear programming constraints
US11762345B2 · kind B2 · utility
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Key dates
| Filing date | Jul 13, 2021 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Sep 5, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02J2203/20
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.
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