A Constraint-Tightening Approach to Nonlinear Model Predictive Control with Chance Constraints for Stochastic Systems. - Tito L. M. Santos; Angelo D. Bonzanini; Tor Aksel N. Heirung; Ali Mesbah 002 (ACC, 2019)

Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees. - Angelo D. Bonzanini; Joel A. Paulson; Ali Mesbah 002 (CDC, 2020)

Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty. - Angelo Domenico Bonzanini; Ali Mesbah 002 (L4DC, 2020)

Perception-Aware Chance-Constrained Model Predictive Control for Uncertain Environments. - Angelo D. Bonzanini; Ali Mesbah 002; Stefano Di Cairano (ACC, 2021)

On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments. - Angelo D. Bonzanini; Ali Mesbah 002; Stefano Di Cairano (CDC, 2021)

Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks. - Angelo D. Bonzanini; Joel A. Paulson; Georgios Makrygiorgos; Ali Mesbah 002 (Comput. Chem. Eng., 2021)

Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving. - Angelo D. Bonzanini; Ali Mesbah 002; Stefano Di Cairano (ACC, 2022)

Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning. - Angelo D. Bonzanini; Joel A. Paulson; Georgios Makrygiorgos; Ali Mesbah 002 (CDC, 2022)

Performance-oriented model learning for control via multi-objective Bayesian optimization. - Georgios Makrygiorgos; Angelo D. Bonzanini; Victor Miller; Ali Mesbah 002 (Comput. Chem. Eng., 2022)

Learning-Based SMPC for Reference Tracking Under State-Dependent Uncertainty: An Application to Atmospheric Pressure Plasma Jets for Plasma Medicine. - Angelo D. Bonzanini; David B. Graves; Ali Mesbah 002 (IEEE Trans. Control. Syst. Technol., 2022)

Perception-aware model predictive control for constrained control in unknown environments. - Angelo D. Bonzanini; Ali Mesbah 002; Stefano Di Cairano (Autom., 2024)