Recursively Feasible Data-Driven Distributionally Robust Model Predictive Control With Additive Disturbances
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DOI: 10.1109/lcsys.2022.3199940
Abstract: In this letter we propose a data-driven distributionally robust Model Predictive Control framework for constrained stochastic systems with unbounded additive disturbances. Recursive feasibility is ensured by optimizing over a linearly interpolated initial state constraint in… read more here.
Keywords: robust model; driven distributionally; distributionally robust; control ... See more keywords