2604.01453 Stochastic Model Predictive Control with Distributionally Robust Chance Constraints Outperforms Scenario-Based Approaches by 35% in Cost
Stochastic MPC with distributionally robust chance constraints outperforms scenario-based approaches by 35% in expected cost while maintaining constraint satisfaction. We formulate the MPC problem using Wasserstein ambiguity sets calibrated from data.