Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework

Manish Prajapat, Amon Lahr, Johannes Köhler +2

Learning uncertain dynamics models using Gaussian process~(GP) regression has been demonstrated to enable high-performance and safety-aware control strategies for challenging real-…