publications

2024

1. A practical multi-objective learning framework for optimal hardware-software co-design of control-on-a-chip systems

   Kimberly J Chan, Joel A Paulson, and Ali Mesbah

   IEEE Transactions on Control Systems Technology, 2024

   under review

2023

1. Safe explorative Bayesian optimization – Towards personalized treatments in plasma medicine

   Kimberly J Chan, Joel A Paulson, and Ali Mesbah

   In Proceedings of the 62nd IEEE Conference on Decision and Control (CDC), 2023
2. Towards personalized plasma medicine via data-efficient adaptation of fast deep learning-based MPC policies

   Kimberly J Chan, Georgios Makrygiorgios, and Ali Mesbah

   In Proceedings of the American Control Conference (ACC), 2023
3. Learning-based adaptive-scenario-tree model predictive control with improved probabilistic safety using robust Bayesian neural networks

   Yajie Bao, Kimberly J Chan, Ali Mesbah, and 1 more author

   International Journal of Robust and Nonlinear Control, 2023

2022

1. Learning-based adaptive-acenario-tree model predictive control with probabilistic safety guarantees using Bayesian neural networks

   Yajie Bao, Kimberly J Chan, Ali Mesbah, and 1 more author

   In Proceedings of the American Control Conference (ACC), 2022
2. Data-driven adaptive optimal control under model uncertainty: an application to cold atmospheric plasmas

   Diogo Rodrigues, Kimberly J Chan, and Ali Mesbah

   IEEE Transactions on Control Systems Technology, 2022

2021

1. Deep learning-based approximate nonlinear model predictive control with offset-free tracking for embedded applications

   Kimberly J Chan, Joel A Paulson, and Ali Mesbah

   In Proceedings of the American Control Conference (ACC), 2021