Bahare Kiumarsi-Khomartash
Orcid: 0000-0002-9701-8375
According to our database1,
Bahare Kiumarsi-Khomartash
authored at least 40 papers
between 2013 and 2023.
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Bibliography
2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Reinforcement Learning Applications in Unmanned Vehicle Control: A Comprehensive Overview.
Unmanned Syst., January, 2023
IEEE Control. Syst. Lett., 2023
High-Confidence Barrier-Certified Control Design Using Goal-Oriented Scenario Optimization and Experience Replay Model Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Trans. Autom. Control., 2022
Barrier-Certified Learning-Enabled Safe Control Design for Systems Operating in Uncertain Environments.
IEEE CAA J. Autom. Sinica, 2022
IEEE Control. Syst. Lett., 2022
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
Heterogeneous formation control of multiple rotorcrafts with unknown dynamics by reinforcement learning.
Inf. Sci., 2021
Output Feedback H∞ Control of Unknown Discrete-time Linear Systems: Off-policy Reinforcement Learning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Barrier-Certified Model-Learning and Control of Uncertain Linear Systems using Experience Replay Method.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
2020
Resilient and Robust Synchronization of Multiagent Systems Under Attacks on Sensors and Actuators.
IEEE Trans. Cybern., 2020
Optimal Output Regulation of Linear Discrete-Time Systems With Unknown Dynamics Using Reinforcement Learning.
IEEE Trans. Cybern., 2020
A Safety-Certified Policy Iteration Algorithm for Control of Constrained Nonlinear Systems.
IEEE Control. Syst. Lett., 2020
CoRR, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Operational Control of Mineral Grinding Processes Using Adaptive Dynamic Programming and Reference Governor.
IEEE Trans. Ind. Informatics, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Heterogeneous Formation Control of Multiple Rotorcrafts with Unknown Dynamics using Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems.
IEEE Trans. Cybern., 2018
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018
Human-in-the-loop Control of Distributed Multi-Agent Systems: A Relative Input-Output Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Off-Policy Reinforcement Learning: Optimal Operational Control for Two-Time-Scale Industrial Processes.
IEEE Trans. Cybern., 2017
H<sub>∞</sub> control of linear discrete-time systems: Off-policy reinforcement learning.
Autom., 2017
Output synchronization of heterogeneous discrete-time systems: A model-free optimal approach.
Autom., 2017
Off-policy reinforcement learning for distributed output synchronization of linear multi-agent systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
Unmanned Syst., 2016
2015
Actor-Critic-Based Optimal Tracking for Partially Unknown Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015
Optimal Tracking Control of Unknown Discrete-Time Linear Systems Using Input-Output Measured Data.
IEEE Trans. Cybern., 2015
Optimal control of nonlinear discrete time-varying systems using a new neural network approximation structure.
Neurocomputing, 2015
H∞ optimal control of unknown linear discrete-time systems: An off-policy reinforcement learning approach.
Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
2014
Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics.
Autom., 2014
2013
Optimal tracking control for linear discrete-time systems using reinforcement learning.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013