Publication

2024

[C17] A. Bahari Kordabad, E. E.Vlahakis, L. Lindemann, D. V. Dimarogonas, and S. Soudjani, "Distributionally Robust Control for Chance-Constrained Signal Temporal Logic Specifications," IEEE Conference on Decision and Control (CDC), 2024 [submitted].

[C16] A. Bahari Kordabad, M. Charitidou, D. V. Dimarogonas, and S. Soudjani, "Control Barrier Functions for Stochastic Systems under Signal Temporal Logic Tasks," European Control Conference (ECC), 2024 [accepted].

2023

[J8] A. Bahari Kordabad, and S. Gros, "Lyapunov-based robust optimal control for time-delay systems with application in milling process", International Journal of Dynamics and Control, 2023.

[C15] S. Sawant, D. Reinhardt, A. Bahari Kordabad, and S. Gros, "Model-free Data-driven Predictive Control Using Reinforcement Learning", IEEE Conference on Decision and Control (CDC), 2023.

[J7] A. Bahari Kordabad, M. Zanon, and S. Gros, "Equivalence of Optimality Criteria for Markov Decision Process and Model Predictive Control", IEEE Transactions on Automatic Control, 2023.

[C14] A. Bahari Kordabad, and S. Gros, "Continuous-time Chance-constrained Stochastic Model Predictive Control using Multiple Shooting and CVaR", European Control Conference (ECC), 2023.

[C13] A. Bahari Kordabad, and S. Gros, "Bias correction of discounted optimal steady state using cost modification", European Control Conference (ECC), 2023.

[C12] A. Bahari Kordabad, D. Reinhardt, A. S. Anand, and S. Gros, "Reinforcement Learning for MPC Fundamentals and Current Challenges", IFAC World Congress 2023.

[J6] W. Cai, A. Bahari Kordabad, and S. Gros, "Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value", Engineering Applications of Artificial Intelligence, Volume 119, p 105793, 2023. [PDF]

[J5] H. Nejatbakhsh Esfahani, A. Bahari Kordabad, W. Cai, and S. Gros, "Learning-based State Estimation and Control using MHE and MPC Schemes with Imperfect Models", European Journal of Control , 2023.

2022

[J4] K. Seel, A. Bahari Kordabad, S. Gros, J. Tommy Gravdah, "Convex Neural Network-based Cost Modifications for Learning Model Predictive Control", IEEE Open Journal of Control Systems , p 366-379, 2022. [PDF]

[J3] A. Bahari Kordabad, R. Wisniewski, and S. Gros, "Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint", IEEE Access , Volume 10, p 130058 - 130067, 2022. [PDF]

[J2] A. Bahari Kordabad, and S. Gros, "Q-Learning of the Storage Function in Economic Nonlinear Model Predictive Control", Engineering Applications of Artificial Intelligence, Volume 116, p 105343, 2022 . [PDF]

[C11] A. Bahari Kordabad, and S. Gros, "Functional stability of discounted MDPs using Economic MPC dissipativity theory", European Control Conference (ECC), 2022. [PDF]

[C10] A. Bahari Kordabad, H. Nejatbakhsh Esfahani, W.Cai and S. Gros, "Quasi-Newton Iteration in Deterministic Policy Gradient", American Control Conference (ACC), 2022. [PDF]

2021

[C9] W.Cai, H. Nejatbakhsh Esfahani, A. Bahari Kordabad, and S. Gros, "Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning", 60th Conference on Decision and Control (CDC), 2021. [PDF]

[C8] W. Cai, A. Bahari Kordabad, H. Nejatbakhsh Esfahani, A. M. Lekkas, and S. Gros, "MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles", 60th Conference on Decision and Control (CDC), 2021. [PDF]

[C7] A. Bahari Kordabad, W. Cai, and S. Gros, "Multi-agent Battery Storage Management using MPC-based Reinforcement Learning", IEEE Conference on Control Technology and Applications (CCTA), 2021. [PDF]

[C6] A. Bahari Kordabad, and S. Gros, "Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning", IFAC-PapersOnLine, vol. 54, no. 6, pp. 308–313, 7th IFAC Conferenceon Nonlinear Model Predictive Control NMPC , 2021. [PDF]

[C5] H. Nejatbakhsh Esfahani, A. Bahari Kordabad, and S. Gros, "Approximate Robust NMPC using Reinforcement Learning", European Control Conference (ECC), 2021. [PDF]

[C4] A. Bahari Kordabad, H. Nejatbakhsh Esfahani, and S. Gros, "Bias Correction in Deterministic Policy Gradient Using Robust MPC", European Control Conference (ECC), 2021. [PDF]

[C3] A. Bahari Kordabad, W. Cai, and S. Gros, "MPC-based reinforcement learning for economic problems with application to battery storage", European Control Conference (ECC), 2021. [PDF]

[C2] H. Nejatbakhsh Esfahani, A. Bahari Kordabad, and S. Gros, "Reinforcement learning basedon MPC/MHE for unmodeled and partially observable dynamics", American Control Conference (ACC), 2021. [PDF]

[C1] A. Bahari Kordabad, H. Nejatbakhsh Esfahani, A. M. Lekkas, and S. Gros,"Reinforcement learning based on scenario-tree MPC for ASVs", American Control Conference (ACC), 2021. [PDF]

2020

[J1] A. Bahari Kordabad, and M. Boroushaki, "Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process". Journal of Applied and Computational Mechanics, 6(3), 480-492, 2020. [PDF]