The paper on Data-Driven Adaptive Optimal Control Under Model Uncertainty: An Application to Cold Atmospheric Plasmas has been accepted for publication in IEEE Transactions on Control Systems Technology.
Journal Publication
The paper on Active Learning-guided Exploration of Parameter Space of Air Plasmas to Enhance the Energy Efficiency of NOx Production has been accepted for publication in Plasma Sources Science and Technology.
Journal Publication
The paper on Efficient Global Solutions to Single-Input Optimal Control Problems via Approximation by Sum-of-Squares Polynomials has been accepted for publication in IEEE Transactions on Automatic Control.
Journal Publication
The paper on Performance-Oriented Model Learning for Control via Multi-Objective Bayesian Optimization has been accepted for publication in Computers & Chemical Engineering.
Preprint
The paper on Data-Driven Flow-Map Models for Data-Efficient Discovery of Dynamics and Fast Uncertainty Quantification of Biological and Biochemical Systems has been posted on bioRxiv.
Journal Publication
The paper on Adversarially Robust Bayesian Optimization for Efficient Auto-Tuning of Generic Control Structures under Uncertainty has been accepted for publication in the AIChE Journal.
Journal Publication
The paper on Low Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap has been accepted for publication in IEEE Transactions on Radiation and Plasma Medical Sciences.
Welcome Thomas and Mira!
Thomas Chang-Davidson and Mira Khare have joined the Mesbah Lab as Graduate Student Researchers! Welcome Thomas and Mira!
Journal Publication
The paper on Multivariable Control Based on Incomplete Models via Feedback Linearization and Continuous-Time Derivative Estimation has been accepted for publication in the International Journal of Robust and Nonlinear Control.
Invited Papers
The invited papers Probabilistically Robust Bayesian Optimization for Data-Driven Design of Arbitrary Controllers with Gaussian Process Emulators and On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments have been accepted for presentation at the IEEE Conference on Decision and Control.
Journal Publication
The paper on Towards a Biomanufactory in Mars has been accepted for publication in Frontiers in Astronomy and Space Sciences.
Conference Publications
The papers on Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees, Deep Learning-Based Approximate Nonlinear Model Predictive Control with Offset-Free Tracking for Embedded Applications, and Perception-Aware Chance-Constrained Model Predictive Control for Uncertain Environments have been accepted for presentation at the 2021 American Control Conference.
The papers on A Data-Driven Automatic Tuning Method for MPC Under Uncertainty Using Constrained Bayesian Optimization and An Adaptive Correction Scheme for Offset-Free Asymptotic Performance in Deep Learning-Based Economic MPC have been accepted for presentation at the 2021 IFAC Symposium on Advanced Control of Chemical Processes (ADChem).
Congratulations Jared!
Jared was selected as a finalist of the CAST Directors’ Student Presentation Awards to present his work “Physics-Constrained Deep Learning of Unmodeled Physics in Systems Governed by Stochastic Differential Equations” during the 2021 AIChE Annual Meeting.
Journal Publication
The paper on Critical Examination of Clearance Concepts for Revealing the Potential for Errors in Clinical Drug Dosing Decisions has been accepted for publication in American Association of Pharmaceutical Scientists Journal.
Journal Publication
The paper on Learning-based SMPC for Reference Tracking under State-dependent Uncertainty: An Application to Atmospheric Pressure Plasma Jets for Plasma Medicine has been accepted for publication in IEEE Transactions on Control Systems Technology.
Workshop
Ali has organized a workshop on Machine Learning and Model Predictive Control at the IFAC Symposium on Advanced Control of Chemical Processes.
Invited Sessions
Invited session on “Recent Advances in Model Predictive Control for Uncertain Systems” at the American Control Conference.
Invited session on “Advances in Set-based and Stochastic Methods for Estimation and Control of Nonlinear Process Systems” at the IFAC Symposium on Advanced Control of Chemical Processes.
News
Ali has been elected as the Chair of the IEEE CSS Technical Committee on Process Control.
Journal Publication
The paper on Perspectives on Machine Learning-assisted Plasma Medicine: Towards Automated Plasma Treatment has been accepted for publication in IEEE Transactions of Radiation and Plasma Medical Sciences.
Journal Publication
The paper on Data-Driven LPV Model Predictive Control of a Cold Atmospheric Plasma Jet for Biomaterials Processing has been accepted for publication in Control Engineering Practice.