Bo Pang

Orcid: 0000-0002-4359-2937

Affiliations:
  • New York University, Department of Electrical and Computer Engineering, NY, USA


According to our database1, Bo Pang authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Learning Adaptive Optimal Controllers for Linear Time-Delay Systems <sup>*</sup>.
Proceedings of the American Control Conference, 2023

2022
Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation.
IEEE Trans. Autom. Control., 2022

Human motor learning is robust to control-dependent noise.
Biol. Cybern., 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

Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation.
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

A Data-driven Approach for Constrained Infinite-Horizon Linear Quadratic Regulation.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Reinforcement Learning for Adaptive Periodic Linear Quadratic Control.
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


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