Stochastic model-predictive control of uncertain system
US11698625B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2020 |
| Grant date | Jul 11, 2023 |
| Priority date | — |
| Expiry date | Dec 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A stochastic model predictive controller (SMPC) estimates a current state of the system and a probability distribution of uncertainty of a parameter of dynamics of the system based on measurements of outputs of the system, and updates a control model of the system including a function of dynamics of the system modeling the uncertainty of the parameter with first and second order moments of the estimated probability distribution of uncertainty of the parameter. The SMPC determines a control input to control the system by optimizing the updated control model of the system at the current state over a prediction horizon and controls the system based on the control input to change the state of the system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.