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Linear Controller Design for Chance Constrained Systems
Georg Schildbach, Paul Goulart, Manfred Morari
This paper is concerned with the design of a linear control law for linear systems with stationary additive disturbances. The objective is to find a state feedback gain that minimi…
A Decomposition Method for Large Scale MILPs, with Performance Guarantees and a Power System Application
Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart +2
Lagrangian duality in mixed integer optimization is a useful framework for problems decomposition and for producing tight lower bounds to the optimal objective, but in contrast to…
A scenario approach for non-convex control design
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos +2
Randomized optimization is an established tool for control design with modulated robustness. While for uncertain convex programs there exist randomized approaches with efficient sa…