Note: In the labels below, J stands for journal publication and C stands for conference publication.

2026

• [J17] A. Bahari Kordabad, S. P. Nayak, S. Soudjani, A.-K. Schmuck, “Context-Triggered Robust MPC for Temporal Logic Specifications”, submitted to Nonlinear Analysis: Hybrid Systems (NAHS), 2026.

• [J16] E. E. Vlahakis, A. Bahari Kordabad, L. Lindemann, P. Sopasakis, S. Soudjani, D. V. Dimarogonas, “Multi-Agent Temporal Logic Planning via Penalty Functions and Block-Coordinate Optimization”, IEEE Control Systems Letters, 2026.

• [J15] A. Bahari Kordabad, R. Majumdar, S. Soudjani, “Almost Sure Reachability in Continuous-time Stochastic Systems”, submitted to Automatica, 2026.

• [J14] H. Nejatbakhsh Esfahani, A. Bahari Kordabad, D. Moreno-Salinas, “Advanced Control Strategies for Autonomous Maritime Systems”, Journal of Marine Science and Engineering, vol. 14, no. 3, p. 315, 2026.

• [C20] A. Bahari Kordabad, D. Brandner, S. Gros, S. Lucia, S. Soudjani, “Quasi-Newton Compatible Actor-Critic for Deterministic Policies”, Proceedings of the European Control Conference (ECC), 2026.

2025

• [J13] A. Valaei, A. Bahari Kordabad, S. Soudjani, “Second-Order Policy Gradient Methods for the Linear Quadratic Regulator”, accepted for publication in Engineering Applications of Artificial Intelligence (EAAI), 2025.

• [J12] A. Bahari Kordabad, R. Majumdar, S. Soudjani, “Sum-of-Squares Certificates for Almost-Sure Reachability of Stochastic Polynomial Systems”, accepted for publication in Nonlinear Analysis: Hybrid Systems (NAHS), 2025.

• [J11] A. Bahari Kordabad, R. Majumdar, H. J. Motwani, S. Soudjani, “On Certificates for Almost Sure Reachability in Stochastic Systems”, accepted for publication in IEEE Transactions on Automatic Control (TAC), 2025.

• [J10] A. Bahari Kordabad, E. E. Vlahakis, L. Lindemann, S. Gros, D. V. Dimarogonas, S. Soudjani, “Data-Driven Distributionally Robust Control for Interacting Agents under Logical Constraints”, accepted for publication in IEEE Transactions on Automatic Control (TAC), 2025.

• [C19] A. Bahari Kordabad, A. Ghosh, S. Stroeve, and S. Soudjani, “Intent-Aware MPC for Aircraft Detect-and-Avoid with Response Delay: A Comparative Study with ACAS Xu.”, SESAR Innovation Days (SIDs), 2025.

• [C18] A. Bahari Kordabad, A. Da Col, A. Ghosh, S. Stroeve, and S. Soudjani, “Robust Model Predictive Control for Aircraft Intent-Aware Collision Avoidance.”, Proceedings of the European Control Conference (ECC), 2025.

2024

• [J9] A. S. Anand, A. Bahari Kordabad, M. Zanon, S. Gros, “Optimality Conditions for Model Predictive Control: Rethinking Predictive Model Design”, accepted for publication in Automatica, 2024.

• [J8] A. Bahari Kordabad, M. Zanon, S. Gros, “Equivalence of optimality criteria for Markov decision process and model predictive control”, IEEE Transactions on Automatic Control, 2024.

• [J7] A. Bahari Kordabad, S. Gros, “Lyapunov-based robust optimal control for time-delay systems with application in milling process”, International Journal of Dynamics and Control, 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”, Proceedings of the 63rd IEEE Conference on Decision and Control (CDC), 2024.

• [C16] A. Bahari Kordabad, M. Charitidou, D. V. Dimarogonas, and S. Soudjani, “Control barrier functions for stochastic systems under signal temporal logic tasks”, 22nd European Control Conference (ECC), 2024.

2023

• [J6] W. Cai, A. Bahari Kordabad, S. Gros, “Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value”, Engineering Applications of Artificial Intelligence, 2023.

• [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.

• [C15] S. Sawant, D. Reinhardt, A. Bahari Kordabad, and S. Gros, “Model-free Data-driven predictive control using reinforcement learning”, 62nd Conference on Decision and Control (CDC), 2023.

• [C14] A. Bahari Kordabad, D. Reinhardt, A. S. Anand, and S. Gros, “Reinforcement Learning for MPC fundamentals and current challenges”, 22nd IFAC World Congress, 2023.

• [C13] A. Bahari Kordabad, and S. Gros, “Continuous-time chance-constrained stochastic model predictive control using multiple shooting and CVaR”, 21st European Control Conference (ECC), 2023.

• [C12] A. Bahari Kordabad, and S. Gros, “Bias correction of discounted optimal steady state using cost modification”, 21st European Control Conference (ECC), 2023.

2022

• [J4] K. Seel, A. Bahari Kordabad, S. Gros, J. T. Gravdahl, “Convex neural network-based cost modifications for learning model predictive control”, IEEE Open Journal of Control Systems, 2022.

• [J3] A. Bahari Kordabad, R. Wisniewski, S. Gros, “Safe reinforcement learning using Wasserstein distributionally robust model predictive control”, IEEE Access, 2022.

• [J2] A. Bahari Kordabad, S. Gros, “Q-Learning of the storage function in economic nonlinear model predictive control”, Engineering Applications of Artificial Intelligence, 2022.

• [C11] A. Bahari Kordabad, and S. Gros, “Functional stability of discounted MDPs using economic MPC dissipativity theory”, 20th European Control Conference (ECC), 2022.

• [C10] A. Bahari Kordabad, H. Nejatbakhsh Esfahani, W. Cai, and S. Gros, “Quasi-Newton iteration in deterministic policy gradient”, American Control Conference (ACC), 2022.

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.

• [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.

• [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.

• [C6] A. Bahari Kordabad, and S. Gros, “Verification of dissipativity and evaluation of storage function in economic nonlinear MPC using Q-Learning”, 7th IFAC Conference on Nonlinear Model Predictive Control, 2021.

• [C5] H. Nejatbakhsh Esfahani, A. Bahari Kordabad, and S. Gros, “Approximate robust NMPC using reinforcement learning”, 19th European Control Conference (ECC), 2021.

• [C4] A. Bahari Kordabad, H. Nejatbakhsh Esfahani, and S. Gros, “Bias correction in deterministic policy gradient using robust MPC”, 19th European Control Conference (ECC), 2021.

• [C3] A. Bahari Kordabad, W. Cai, and S. Gros, “MPC-based reinforcement learning for economic problems with application to battery storage”, 19th European Control Conference (ECC), 2021.

• [C2] H. Nejatbakhsh Esfahani, A. Bahari Kordabad, and S. Gros, “Reinforcement learning based on MPC/MHE for unmodeled and partially observable dynamics”, American Control Conference (ACC), 2021.

• [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.

2019

• [J1] A. Bahari Kordabad, M. Boroushaki, “Emotional Learning based intelligent controller for MIMO peripheral milling process”, Journal of Applied and Computational Mechanics, 2019.