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Mesbah Lab at UC Berkeley

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Learning-Based Analysis and Predictive Control of Uncertain Systems

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Mesbah Lab at UC Berkeley

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Conference Publications

February 28, 2020 Ali Mesbah

The papers on Safe Dose Delivery in Fast Sampling Atmospheric Plasmas Using Projection-Based Approximate Economic MPC, Stochastic MPC with Adaptive Chance Constraints based on Empirical Cumulative Distribution, A Polynomial Chaos Expansion Toolbox for Matlab, and Fast Probabilistic Uncertainty Quantification and Sensitivity Analysis of a Mars Life Support System Model have been accepted for presentation at the IFAC World Congress 2020.

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