Machine learning for real-time diagnostics of cold atmospheric plasma sources D Gidon, X Pei, AD Bonzanini, DB Graves, A Mesbah IEEE Transactions on Radiation and Plasma Medical Sciences 3 (5), 597-605, 2019 | 49 | 2019 |
Fast Approximate Learning-based Multistage Nonlinear Model Predictive Control using Gaussian Processes and Deep Neural Networks AD Bonzanini, JA Paulson, G Makrygiorgos, A Mesbah Computers & Chemical Engineering, 107174, 2020 | 48 | 2020 |
Perspectives on Machine Learning-assisted Plasma Medicine: Towards Automated Plasma Treatment AD Bonzanini, K Shao, A Stancampiano, DB Graves, A Mesbah Transactions on Radiation and Plasma Medical Sciences, 2021 | 37 | 2021 |
Toward Safe Dose Delivery in Plasma Medicine using Projected Neural Network-based Fast Approximate NMPC AD Bonzanini, JA Paulson, DB Graves, A Mesbah IFAC World Congress, 2020 | 37 | 2020 |
Learning-Based SMPC for Reference Tracking Under State-Dependent Uncertainty: An Application to Atmospheric Pressure Plasma Jets for Plasma Medicine AD Bonzanini, DB Graves, A Mesbah IEEE Transactions on Control Systems Technology, 2021 | 31 | 2021 |
Performance-oriented model learning for control via multi-objective Bayesian optimization G Makrygiorgos, AD Bonzanini, V Miller, A Mesbah Computers & Chemical Engineering 162, 107770, 2022 | 30 | 2022 |
A constraint-tightening approach to nonlinear model predictive control with chance constraints for stochastic systems TLM Santos, AD Bonzanini, TAN Heirung, A Mesbah 2019 American control conference (ACC), 1641-1647, 2019 | 29 | 2019 |
Data-driven LPV model predictive control of a cold atmospheric plasma jet for biomaterials processing D Gidon, HS Abbas, AD Bonzanini, DB Graves, JM Velni, A Mesbah Control Engineering Practice 109, 104725, 2021 | 26 | 2021 |
Safe learning-based model predictive control under state-and input-dependent uncertainty using scenario trees AD Bonzanini, JA Paulson, A Mesbah Proceedings of the IEEE Conference on Decision and Control. Jeju Island …, 2020 | 22 | 2020 |
Foundations of machine learning for low-temperature plasmas: methods and case studies AD Bonzanini, K Shao, DB Graves, S Hamaguchi, A Mesbah Plasma Sources Science and Technology 32 (2), 024003, 2023 | 20 | 2023 |
Perception-Aware Chance-Constrained Model Predictive Control for Uncertain Environments AD Bonzanini, A Mesbah, S Di Cairano Proceedings of the IEEE American Control Conference, 2021 | 14 | 2021 |
Tube-based stochastic nonlinear model predictive control: A comparative study on constraint tightening AD Bonzanini, TLM Santos, A Mesbah IFAC-PapersOnLine 52 (1), 598-603, 2019 | 14 | 2019 |
Learning-based stochastic model predictive control with state-dependent uncertainty AD Bonzanini, A Mesbah Learning for Dynamics and Control, 571-580, 2020 | 7 | 2020 |
Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving AD Bonzanini, A Mesbah, S Di Cairano | 5 | 2022 |
On the stability properties of perception-aware chance-constrained mpc in uncertain environments AD Bonzanini, A Mesbah, S Di Cairano 2021 60th IEEE Conference on Decision and Control (CDC), 2177-2182, 2021 | 4 | 2021 |
Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning AD Bonzanini, JA Paulson, G Makrygiorgos, A Mesbah 2022 61st IEEE Conference on Decision and Control (CDC), 2022 | 2 | 2022 |
Perception-aware model predictive control for constrained control in unknown environments AD Bonzanini, A Mesbah, S Di Cairano Automatica 160, 111418, 2024 | 1 | 2024 |
Controlling machine operating in uncertain environment discoverable by sensing S Di Cairano, AD Bonzanini, A Mesbah US Patent 11,886,196, 2024 | | 2024 |
System and Method for Controlling Autonomous Vehicle in Uncertain Environment S Di Cairano, AD Bonzanini, A Mesbah US Patent App. 17/805,376, 2023 | | 2023 |
Active Deep Learning for Scalable Approximation of Reachable and Invariant Sets for Mixed-Integer Nonlinear Systems J Paulson, AD Bonzanini, G Makrygiorgos, A Mesbah 2022 AIChE Annual Meeting, 2022 | | 2022 |