Patent · US Active

Method and device for providing a sparse Gaussian process model for calculation in an engine control unit

US9934197B2 · kind B2 · utility

0Cited by

2References

6Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Ernst Kloppenburg · Ditzingen, DE
Michael Hanselmann · Ditzingen, DE
Heiner Markert · Stuttgart, DE
Felix Streichert · Ina, JP

Key dates

Filing date	Dec 23, 2014
Grant date	Apr 3, 2018
Priority date	—
Expiry date	Jul 30, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG06F17/16
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for determining a sparse Gaussian process model to be carried out in a solely hardware-based model calculation unit includes: providing supporting point data points, a parameter vector based thereon, and corresponding hyperparameters; determining or providing virtual supporting point data points for the sparse Gaussian process model; and determining a parameter vector Qy* for the sparse Gaussian process model with the aid of a Cholesky decomposition of a covariant matrix KM between the virtual supporting point data points and as a function of the supporting point data points, the parameter vector based thereon, and the corresponding hyperparameters, which define the sparse Gaussian process model.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.