Emanuel Munoz

Online Adaptive Compensation for Model Uncertainty Using Extreme Learning Machine-based Control Barrier Functions

A control barrier functions-based quadratic programming (CBF-QP) method has emerged as a controller synthesis tool to assure safety of autonomous systems owing to the appealing safe forward invariant set. However, the provable safety relies on a precisely described dynamic model, which is not always…