Dr. Peter Seiler

Biography

Peter Seiler is an Associate Professor at the University of Michigan. His research primarily focuses on robust control theory and its applications in systems design, particularly the effects of model uncertainty. He is also a contributor to the Robust Control Toolbox in MATLAB and is currently developing theoretical numerical algorithms to assess the robustness of systems over finite time horizons. His work investigates the use of robust control techniques to understand optimization algorithms and model-free reinforcement learning methods. Prior to his appointment at the University of Michigan in 2020, he worked at the University of Minnesota, where he focused on advanced control techniques for wind turbines and fault-detection methods for safety-critical systems, including robust control applications for disk drives. Between 2004 and 2008, Seiler was employed at Honeywell Research Labs, tackling issues related to redundancy management systems for the Boeing 787 and developing sensor fusion algorithms for automotive active safety systems and re-entry flight control laws for NASA's Orion vehicle.

Research Interests

Experience