System and method for controller adaptation
US9747543B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2015 |
| Grant date | Aug 29, 2017 |
| Priority date | — |
| Expiry date | Sep 30, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural-Model Predictive Control (MPC) controller is described to control a dynamical system (i.e., “plant”). The MPC controller receives, in a base controller, a measurement of a current state of a plant and generates a control signal based on the measurement of the current state of the plant. A forward module receives the measurement of the current state of the plant and the control signal to generate a forward module prediction. A forward module corrector receives the measurement of the current state of the plant and the control signal from the base controller to generate an additive correction to the forward module prediction to generate a predicted plant state. Control sequences of length L of pairs of control signals and corresponding predicted plant states are generated until Ns control sequences have been generated. A next plant control signal is generated based on the Ns control sequences.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.