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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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Journal Publication

November 23, 2020 Ali Mesbah

The paper on Deep Learning for Characterizing the Self-Assembly of Three-Dimensional Colloidal Systems has been accepted for publication in Soft Matter.

Journal Publication

November 23, 2020 Ali Mesbah

The paper on Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees has been accepted for publication in IEEE Control Systems Letters.

Journal Publication

November 20, 2020 Ali Mesbah

The paper on Fast Approximate Learning-based Multistage Nonlinear Model Predictive Control using Gaussian Processes and Deep Neural Networks has been accepted for publication in Computers and Chemical Engineering.

News

October 15, 2020 Ali Mesbah

Ali has been elected as the AIChE CAST Area 10b: Systems and Process Control Programming Coordinator for 2023.

Journal Publication

October 8, 2020 Ali Mesbah

The paper on Observation for Markov Jump Piecewise-Affine Systems With Admissible Region-Switching Paths has been accepted for publication in IEEE Transactions on Automatic Control.

Congratulations Kimberly!

October 2, 2020 Ali Mesbah

Kimberly won the 2020 Women in Chemical Engineering (WIC) Travel Award! The award covers her registration fees for the 2020 Virtual AIChE Annual Meeting and her 2021 AIChE membership. Congratulations Kimberly!

Congratulations Kimberly!

September 25, 2020 Ali Mesbah

Kimberly was awarded the outstanding Graduate Student Instructor award for teaching CBE 40: Introduction to Chemical Engineering Design. Congratulations Kimberly!

Conference Publications

August 3, 2020 Ali Mesbah

The papers on Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees, A Low-complexity Tube Controller using Contractive Invariant Sets, and Tractable Global Solutions to Bayesian Optimal Experiment Design have been accepted for presentation at the IEEE Conference on Decision and Control.

Congratulations team!

August 3, 2020 Ali Mesbah

The paper on Safe Dose Delivery in Plasma Medicine using Projected Neural Network-based Fast Approximate NMPC is selected as the winner of the Applications Paper Awards of the IFAC World Congress 2020.

Invited Talk

July 16, 2020 Ali Mesbah

Ali will deliver an invited talk at the State-of-the-art Applications for Model Predictive Control Workshop at the 4th IEEE Conference on Control Technology and Applications 2020.

News

July 5, 2020 Ali Mesbah

Ali was promoted to Associate Professor on July 1st, 2020!

Congratulations George!

June 1, 2020 Ali Mesbah

George was selected as a finalist of the CAST Directors’ Student Presentation Awards to present his work “Deep Learning for Probabilistic Uncertainty Quantification of an Integrated Biomanufacturing System for Martian Colonization” during the 2020 AIChE Annual Meeting.

Journal Publication

May 5, 2020 Ali Mesbah

The paper on A Polytopic Approach for Stability Analysis and Stabilization of Discrete-time Non-homogeneous Semi-Markov Jump Linear Systems has been accepted for publication in Automatica.

Journal Publication

April 29, 2020 Ali Mesbah

The paper on Surrogate Modeling for Fast Uncertainty Quantification Applied to 2D Population Balance Models has been accepted for publication in Computers and Chemical Engineering.

Congratulations Farshud (again)!

April 29, 2020 Ali Mesbah

Farshud will be attending The Ohio State University to pursue his PhD in Chemical and Biomolecular Engineering. We are excited to see him accomplish big things!

Congratulations Farshud!

April 1, 2020 Ali Mesbah

Farshud has been awarded the NSF Graduate Research Fellowship!

Conference Publication

March 5, 2020 Ali Mesbah

The paper on Learning-based stochastic model predictive control with state-dependent uncertainty has been accepted for poster presentation at the Learning for Dynamics and Control (L4DC) Conference and publication in the Proceedings of Machine Learning Research.

Journal Publication

March 2, 2020 Ali Mesbah

The paper on Approximate Closed-loop Robust Model Predictive Control with Guaranteed Stability and Constraint Satisfaction has been accepted for publication in IEEE Control Systems Letters.

Workshop

February 28, 2020 Ali Mesbah

Workshop on “Machine Learning meets Model-based Control” at the IFAC World Congress 2020.

Invited Session

February 28, 2020 Ali Mesbah

Invited session on “Advances in Stochastic and Set-Based Control and Estimation” at the IFAC World Congress 2020.

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