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Found 3 papers, 1 papers with code
Stability-informed Bayesian Optimization for MPC Cost Function Learning
Designing predictive controllers towards optimal closed-loop performance while maintaining safety and stability is challenging.
Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control
Furthermore, we quantify the regret by comparing the performance when the distributions of the stochastic uncertainties are known and unknown.
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles
We propose a model predictive control approach for autonomous vehicles that exploits learned Gaussian processes for predicting human driving behavior.
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