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

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

Bruno Morabito

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

Christian Kallies

Website
PhD project: Optimization based calibration, control and dual control of uncertain chemical and biochemical processes

Rudolph Louis Kok

PhD project: Machine Learning Supported Optimal Control of Chemical Processes

Petar Andonov

Website
PhD project: Set-based methods for guaranteed identification and control of hybrid systems

Markus Jens Kögel

Website
PhD project: MPC for cyber physical systems

IMPRS Alumni

Benjamin Kern

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

Nadine Rudolph

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