Systems Theory and Automatic Control

Major research interests

Many processes are required to operate autonomous and optimal, despite the demand for high flexibility and often large uncertainties and largely unknown systems dynamics. We focus on the development of theoretical sound methods for the control, operation and monitoring of autonomous dynamical systems, fusing methods from

  • artificial intelligence and machine learning
  • optimal and predictive control (MPC)
  • uncertainty description and propagation
Special focal areas are: fusing learning and control, model predictive control, modularization, scalability & large scale systems, cyber physical systems, network controlled systems, identification and model validation methods.
Field of applications span from: biotechnological processes, chemical processes, biomedicine and medical engineering, energy systems such as smart grids and batteries, robotics and mechatronics, autonomous driving.

Further information can be found here.

Current PhD students in the IMPRS program

Tobias Bäthge

Tobias Bäthge

PhD project: Modular Controller Design for Hierarchical Systems and Long Decision Horizons
Bruno Morabito

Bruno Morabito

PhD project: Approaches for multi-modes state estimation and model predictive control

Markus Jens Kögel

Markus Jens Kögel

PhD project: MPC for cyber physical systems

Rudolph Louis Kok

PhD project: Machine Learning Supported Optimal Control of Chemical Processes

IMPRS Alumni

Petar Anodonov

PhD thesis: Guaranteed set-based controller design for hybrid dynamical systems (Jul. 30, 2021)

Christian Kallies

PhD thesis: Approximated Adaptive Explicit Parametric Optimal Control (Jul. 28, 2021)

Nadine Rudolph

PhD thesis: Quantitative modeling of biological systems using set-based analysis methods
(Nov. 26, 2019)

Benjamin Kern

PhD thesis: Set–Based Methods for Interconnected Control System
(Jul. 1, 2019)

Anton Savchenko

PhD thesis: Efficient Set-based Process Monitoring and Fault Diagnosis
(Feb. 27, 2017)

Philipp Rumschinski

PhD thesis: Verification of System Properties of Polynomial Systems using Discrete-time Approximations and Set-based Analysis
(Aug. 18, 2015)

Paolo Varutti

PhD thesis: Control methodologies for complex hierarchically interconnected systems subject to delays
(Feb. 11, 2014)

Steffen Borchers

PhD thesis: Parameter Identification and Identifiability of Biochemical Reaction Networks
(Jun. 21, 2013)

Timm Faulwasser

PhD thesis: Opimization-based solutions to trajectory tracking and path-following problems
(Oct. 5, 2012)

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