Controller for controlling a technical system, and method for configuring the controller

US12254389B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Siegmund Düll · Hersbruck, DE
• Kai Heesche · Munich, DE
• Volkmar Sterzing · Neubiberg, DE
• Marc Christian Weber · Munich, DE

Key dates

• Filing date: Jun 26, 2019
• Grant date: Mar 18, 2025
• Expiry date: Jun 28, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/092
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A technical system controller is trained using a machine learning method. For this purpose, a chronological sequence of training data is detected for the machine learning method. The training data includes state data, which specifies states of the technical system, and control action data, which specifies control actions of the technical system. A chronological sequence of control action data is extracted specifically from the training data and is checked for a change over time. If a change over time is ascertained, a time window including the change is ascertained, and training data which can be found within the time window is extracted in a manner which is specific to the time window. The controller is then trained by the machine learning method using the extracted training data and is thus configured for controlling the technical system.