safety critical systems


Visible to the public Managing Uncertainty in the Design of Safety-Critical Aviation Systems


The objective of this research is to create tools to manage uncertainty in the design and certification process of safety-critical aviation systems. The research focuses on three innovative ideas to support this objective. First, probabilistic techniques will be introduced to specify system-level requirements and bound the performance of dynamical components.


Visible to the public Aerospace, Engineering, and Mechanics - Robustness Analysis of Safety-Critical Systems

Peter Seiler's research is in the area of control systems with applications to aerospace systems. Modern flight control systems are typically designed using a model of the aircraft dynamics. One aspect of Seiler's research is to develop tools to analyze the effect of model uncertainty and nonlinearities on system performance. He is currently applying modern control design and analysis tools to make wind energy more cost-effective. Advanced control algorithms can increase the power capture and reduced structural loads on large, industrial scale wind turbines.