Bo Pang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Optimal Control

Infinite Horizon

Top Venues

IEEE Trans. Autom. Control.

IEEE Trans. Intell. Veh.

Publications

Leilei Cui, Bo Pang, Zhong-Ping Jiang
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach. IEEE Trans. Autom. Control. 69 (1) (2024)
Leilei Cui, Bo Pang, Zhong-Ping Jiang
. ACC (2023)
Bo Pang, Zhong-Ping Jiang
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems. IEEE Trans. Autom. Control. 68 (4) (2023)
Leilei Cui, Bo Pang, Zhong-Ping Jiang
Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control. CDC (2023)
Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang
A Unified Framework for Data-Driven Optimal Control of Connected Vehicles in Mixed Traffic. IEEE Trans. Intell. Veh. 8 (8) (2023)
Bo Pang, Leilei Cui, Zhong-Ping Jiang
Human motor learning is robust to control-dependent noise. Biol. Cybern. 116 (3) (2022)
Leilei Cui, Bo Pang, Zhong-Ping Jiang
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach. CoRR (2022)
Bo Pang, Tao Bian, Zhong-Ping Jiang
Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation. IEEE Trans. Autom. Control. 67 (1) (2022)
Bo Pang, Zhong-Ping Jiang
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems. CoRR (2021)
Bo Pang, Zhong-Ping Jiang
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation. AAAI (2021)
Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang
Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road. CDC (2021)
Bo Pang, Zhong-Ping Jiang
Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach. IEEE Trans. Autom. Control. 66 (2) (2021)
Bo Pang, Zhong-Ping Jiang
A Data-driven Approach for Constrained Infinite-Horizon Linear Quadratic Regulation. CDC (2020)
Bo Pang, Zhong-Ping Jiang, Iven Mareels
Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems. Autom. 118 (2020)
Bo Pang, Tao Bian, Zhong-Ping Jiang
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation. CoRR (2020)
Bo Pang, Zhong-Ping Jiang
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation. CoRR (2020)
Bo Pang, Zhong-Ping Jiang, Iven Mareels
Reinforcement Learning for Adaptive Periodic Linear Quadratic Control. CDC (2019)
Bo Pang, Zhong-Ping Jiang
Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach. CoRR (2019)
Bo Pang, Tao Bian, Zhong-Ping Jiang
Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems. CDC (2018)
Yin Cheng, Yuexin Huang, Bo Pang, Weidong Zhang
ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler. Eng. Appl. Artif. Intell. 74 (2018)
Bo Pang, Yunze Cai, Weidong Zhang
LMI Relaxations for Quadratic Stabilization of Guaranteed Cost Control of T-S Fuzzy Systems. Int. J. Fuzzy Syst. 19 (5) (2017)
Bo Pang, Xiaocheng Liu, Qibing Jin, Weidong Zhang
Exponentially stable guaranteed cost control for continuous and discrete-time Takagi-Sugeno fuzzy systems. Neurocomputing 205 (2016)