Wasserstein Distributionally Robust MPC for Cost-Weight Uncertainty Under Limited Data
This paper considers a model predictive control (MPC) problem for discrete-time linear systems with uncertain cost-weight parameters under limited data. A Wasserstein ambiguity set centered at the empirical distribution is introduced, and a distributionally robust optimization-based MPC (DRO-MPC) framework is developed...