Certification of Complex, Non-Deterministic Systems

Principal Investigator: Dr. Craig Woolsey

This task focused on methods for quantifying uncertainty in risk assessment, risk mitigation, and safety certification of autonomous vehicles, using small unmanned aircraft systems (UAS) as a representative application. Methods and tools are being developed to model unmanned aircraft systems, using a combination of experimental and computational data, to help facilitate the aircraft certification process. The current research focuses on developing methods to characterize the uncertainty in models and model-forms for modified aircraft configurations, which can avoid the need for additional flight testing.