132 citations · 317 across the 27 of their papers we have counts for
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eess.SY2020
A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization
Farshud Sorourifar, Georgios Makrygirgos, Ali Mesbah +1
The closed-loop performance of model predictive controllers (MPCs) is sensitive to the choice of prediction models, controller formulation, and tuning parameters. However, predicti…
eess.SY2020
Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees
Joel A. Paulson, Ali Mesbah
Systematic design and verification of advanced control strategies for complex systems under uncertainty largely remains an open problem. Despite the promise of blackbox optimizatio…