Rotor blade with serrations
US11220993B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 15, 2016 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | Sep 1, 2036 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/72
- WIPO fieldSurface technology, coating
- WIPO sectorChemistry
Abstract
A method using machine learned, scenario based control heuristics including: providing a simulation model for predicting a system state vector of the dynamical system in time based on a current scenario parameter vector and a control vector; using a Model Predictive Control, MPC, algorithm to provide the control vector during a simulation of the dynamical system using the simulation model for different scenario parameter vectors and initial system state vectors; calculating a scenario parameter vector and initial system state vector a resulting optimal control value by the MPC algorithm; generating machine learned control heuristics approximating the relationship between the corresponding scenario parameter vector and the initial system state vector for the resulting optimal control value using a machine learning algorithm; and using the generated machine learned control heuristics to control the complex dynamical system modelled by the simulation model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.