Method for ascertaining a time characteristic of a measured variable, prediction system, actuator control system, method for training the actuator control system, training system, computer program, and machine-readable storage medium

US11093863B2 · kind B2 · utility

Assignees

• Max-Planck-Gesellschaft zur Föderung der Wissenschaften e.V. · US
• Robert Bosch GmbH · DE

Inventors

• The Duy Nguyen-Tuong · Leonberg, DE
• Christian Daniel · Leonberg, DE
• Sebastian Trimpe · Tübingen, DE
• Martin Schiegg · Strohberg, DE
• Andreas Doerr · Stuttgart, DE

Key dates

• Filing date: Jan 28, 2019
• Grant date: Aug 17, 2021
• Expiry date: Jan 28, 2039

Classification

• Technology area (CPC H): Electricity
• CPC primary: H10N30/802
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method for ascertaining a time characteristic of a measured variable adjustable by an actuator, wherein a time characteristic of a control variable is applied to the actuator, wherein the ascertaining is effected by means of a Gaussian process state model of the behavior of the actuator, wherein the time characteristic of the measured variable of the actuator is ascertained on the basis of a parameterizable family of functions, wherein in the parameterizable family of functions a time dependency of a later latent state, in particular ascertained using a transfer function, of the actuator on an earlier latent state of the actuator and an earlier control variable of the actuator is the same as the applicable dependency of the Gaussian process state model.