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eess.SY2026
Receding Horizon Control and Dissipativity - Optimal Control, Games and Uncertainty
Sophie Hall, Jonas Schießl, Sergio Grammatico +1
We provide a tutorial overview of receding horizon control across deterministic, stochastic, multi-agent, and game-theoretic settings. We contrast the minimizer of an optimal contr…
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…