The research focus of the institute is on methods for analyzing, controlling, and optimizing systems for which mathematical models with at least one of the following characteristics are suitable:

• mixed continuous-discrete (hybrid) dynamics,
• distributed structure with components for communication,
• hierarchical setting with multiple decision layers,
• dynamics with uncertainties and time-variance,
• components of learning and artificial intelligence.

For validating the developed methods, predominantly applications from the domains of autonomous vehicles, robotics, power systems, production, and biological systems are considered.

Further Information:

• Current Topics
• Publications
• Research Projects