Gaussian processes for dynamics learning in model predictive control.
CoRR, February, 2025
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control.
CoRR, 2024
Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions.
CoRR, 2024
Probabilistic ODE solvers for integration error-aware numerical optimal control.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados.
Proceedings of the European Control Conference, 2024
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Zero-order optimization for Gaussian process-based model predictive control.
Eur. J. Control, November, 2023