Bo Pang
Orcid: 0000-0002-4359-2937Affiliations:
- New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Control and Networks Lab, Brooklyn, NY, USA (PhD 2021)
- Shanghai Jiao Tong University, Department of Automation, Key Laboratory of System Control and Information Processing, Shanghai, China (2014 - 2017)
According to our database1,
Bo Pang
authored at least 18 papers
between 2016 and 2025.
Collaborative distances:
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Bibliography
2025
Learning-based adaptive optimal control of linear time-delay systems: A value iteration approach.
Autom., 2025
2024
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach.
IEEE Trans. Autom. Control., January, 2024
2023
A Unified Framework for Data-Driven Optimal Control of Connected Vehicles in Mixed Traffic.
IEEE Trans. Intell. Veh., August, 2023
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems.
IEEE Trans. Autom. Control., 2023
Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the American Control Conference, 2023
2022
IEEE Trans. Autom. Control., 2022
2021
Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach.
IEEE Trans. Autom. Control., 2021
Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems.
Autom., 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler.
Eng. Appl. Artif. Intell., 2018
Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
LMI Relaxations for Quadratic Stabilization of Guaranteed Cost Control of T-S Fuzzy Systems.
Int. J. Fuzzy Syst., 2017
2016
Exponentially stable guaranteed cost control for continuous and discrete-time Takagi-Sugeno fuzzy systems.
Neurocomputing, 2016