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247-0406-00L 2 Credits WBZ , NDS D-ITET

Learning and Data-Driven Control

Lecturers & Examiners: Prof. Dr. John Lygeros, Dr. Andrea Martinelli

VVZ CR n/a

Last Updated: 2026-06-03 00:07:32

Abstract

A major recent shift in control has been the rise of data‑driven and reinforcement learning methods. With data now central across industries, we show how to use it to design controllers that optimize performance and ensure safety. This module introduces key reinforcement learning techniques and the emerging theory of data‑enabled predictive control.

Content

Perhaps the largest revolution in recent history of systems and control has been the development of data-driven and reinforcement learning methods. Data pervade each and every corner of most industries and represent an extremely valuable asset. We show how to make the most use of data to design smart controllers that optimize performance and satisfy safety requirements. We introduce the most relevant reinforcement learning techniques and introduce the recent theory of data-enabled predictive control.

General Information

Language: English
Levels: WBZ , NDS
Frequency: Yearly recurring

Examination

Type: ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components