1 citations · 1 across the 4 of their papers we have counts for
5 papers
Safe Exploration and Escape Local Minima with Model Predictive Control under Partially Unknown Constraints
Raffaele Soloperto, Ali Mesbah, Frank Allgöwer
In this paper, we propose a novel model predictive control (MPC) framework for output tracking that deals with partially unknown constraints. The MPC scheme optimizes over a learni…
Low Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap
Mounir Laroussi, Sander Bekeschus, Michael Keidar +18
Plasma, the fourth and most pervasive state of matter in the visible universe, is a fascinating medium that is connected to the beginning of our universe itself. Man-made plasmas a…
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…
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…
PoCET: a Polynomial Chaos Expansion Toolbox for Matlab
Felix Petzke, Ali Mesbah, Stefan Streif
We introduce PoCET: a free and open-scource Polynomial Chaos Expansion Toolbox for Matlab, featuring the automatic generation of polynomial chaos expansion (PCE) for linear and non…