Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
The author presents an adaptive online learning framework for safety-critical control in non-stationary environments using Gaussian processes. The approach involves two phases: a novel sparse Gaussian process framework and a safety filter based on high order control barrier functions.