Head of the section: John-Josef Leth

Research Profile

In the Automation & Control section, we focus on developing mathematical and computational methods for modeling, estimation, monitoring, and control of dynamic systems, thereby providing core paradigms for designing control solutions across diverse engineering applications. Our research—conducted by faculty, researchers, and students with support from government and industry—spans both fundamental and applied domains, emphasizing the translation of scientific advances into practical technologies. The section comprises four research groups: Advanced Robotics & AI, Green Lab, Learning and Decisions Lab, and Nonlinear and Optimal Control Lab.

Advanced Robotics & AI:  Research focuses on advancing the capabilities of self-learning autonomous robotic systems in extreme environments. Read more

Contact: Simon Bøgh

Green Lab: Research focuses on modeling and control problems in connection with the Danish transition to a sustainable society infrastructure. Read more

Contact: Jan Dimon Bendtsen

Learning and Decisions Lab: Research focuses on control and decision synthesis for autonomous machines and infrastructures. Read more

Contact: Rafal Wisniewski

Nonlinear and Optimal Control Lab: Research focuses on the development of analytical and computational methods for the modeling, analysis, and control of complex dynamical systems. Read more

Contact: John Leth

We are also actively engaged in space technology research, encompassing attitude determination and control, fault detection and isolation (including fault-tolerant control), ground station networks, and satellite system engineering. This research is applied to both single-satellite missions and satellite formation flying Read more...