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…