Hardware in the Loop

Real-time modeling of complex systems and rapid prototyping at the departmental HIL simulator

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Process Analysis via Machine Learning

Detection of dependencies of quality and performance variables on process parameters

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Analysis of Medical Data

Analysis software as an integral part of a multifunctional clinical monitoring system

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Control Concepts for Future Power Networks

Multi-network model-based monitoring and control for the planning and operation of a power distribution network

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Predictive Maintenance

Optimize maintenance planning with Machine Learning

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System Analysis, Prognosis and Control

Based on its core competences in system theory and data analytics the department deals with the modeling, analysis, prognosis and control of complex system and process behavior both in technical and the biological/medical environments.

Fields of activity are modeling and analysis of complex dynamic systems as well as their monitoring and control. The focus includes industrial plants and commercial vehicles (especially with regard to industry 4.0 and hardware-in-the-loop), power generation and distribution as well as medical devices and biosensors.

Fields of Activity


Power Generation and Distribution

Modeling, monitoring and control of energy producers, energy distribution networks and energy efficiency of consumers



Machine Monitoring and Control

Electronic, mechanical and mechatronic systems, facilities and machines


Bio-sensors and Medical Devices

Modeling and data analysis in the fields of system biology and medical engineering



Machine Learning

Problem-solving for various industrial aims by using methods of machine learning


Controller Design for Complex Systems

Control algorithms from standard PID-control to complex distributed and model-predictive controllers


Model Identification and State Estimation

Wide method portfolio of Kalman Filtering, Monte Carlo methods, nonlinear optimization and many more



Latest News

Dates, research topics and workshops of the department.

Information Material

Flyers and other information material of the department.

Products and Services

Software products, consultations and services.