Deep Learning-based Approximate Nonlinear Model Predictive Control with Offset-free Tracking for Embedded Applications. - Kimberly J. Chan; Joel A. Paulson; Ali Mesbah 002 (ACC, 2021)

Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks. - Yajie Bao; Kimberly J. Chan; Ali Mesbah 002; Javad Mohammadpour Velni (ACC, 2022)

Towards Personalized Plasma Medicine via Data-Efficient Adaptation of Fast Deep Learning-based MPC Policies. - Kimberly J. Chan; Georgios Makrygiorgos; Ali Mesbah 002 (ACC, 2023)

Safe Explorative Bayesian Optimization - Towards Personalized Treatments in Plasma Medicine. - Kimberly J. Chan; Joel A. Paulson; Ali Mesbah 002 (CDC, 2023)

Data-Driven Adaptive Optimal Control Under Model Uncertainty: An Application to Cold Atmospheric Plasmas. - Diogo Rodrigues; Kimberly J. Chan; Ali Mesbah 002 (IEEE Trans. Control. Syst. Technol., 2023)

A Practical Multiobjective Learning Framework for Optimal Hardware-Software Co-Design of Control-on-a-Chip Systems. - Kimberly J. Chan; Joel A. Paulson; Ali Mesbah 002 (IEEE Trans. Control. Syst. Technol., 2024)