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20232026
most citedNear-optimal performance of stochastic economic MPC

2 citations · 4 across the 6 of their papers we have counts for

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math.OC2026

Closed-loop analysis of linear stochastic MPC with risk-averse constraints

Jonas Schießl, Ruchuan Ou, Michael H. Baumann +2

Chance constraints are widely used in stochastic model predictive control (MPC) to enforce probabilistic state and input constraints in the presence of unbounded disturbances. Howe…