Bo Pang

23 papers A* 1C 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning-based adaptive optimal control of linear time-delay systems: A value iteration approach.
Autom.
Leilei Cui, Bo Pang, Miroslav Krstic, Zhong-Ping Jiang
2024 J jnl
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach.
IEEE Trans. Autom. Control.
Leilei Cui, Bo Pang, Zhong-Ping Jiang
2023 J jnl
A Unified Framework for Data-Driven Optimal Control of Connected Vehicles in Mixed Traffic.
IEEE Trans. Intell. Veh.
Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang
2023 C conf
Learning Adaptive Optimal Controllers for Linear Time-Delay Systems
ACC
Leilei Cui, Bo Pang, Zhong-Ping Jiang
2023 J jnl
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems.
IEEE Trans. Autom. Control.
Bo Pang, Zhong-Ping Jiang
2023 — conf
Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control.
CDC
Leilei Cui, Bo Pang, Zhong-Ping Jiang
2022 J jnl
Human motor learning is robust to control-dependent noise.
Biol. Cybern.
Bo Pang, Leilei Cui, Zhong-Ping Jiang
2022 J jnl
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach.
CoRR
Leilei Cui, Bo Pang, Zhong-Ping Jiang
2022 J jnl
Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation.
IEEE Trans. Autom. Control.
Bo Pang, Tao Bian, Zhong-Ping Jiang
2021 J jnl
Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach.
IEEE Trans. Autom. Control.
Bo Pang, Zhong-Ping Jiang
2021 — conf
Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road.
CDC
Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang
2021 J jnl
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems.
CoRR
Bo Pang, Zhong-Ping Jiang
2021 A* conf
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation.
AAAI
Bo Pang, Zhong-Ping Jiang
2020 — conf
A Data-driven Approach for Constrained Infinite-Horizon Linear Quadratic Regulation.
CDC
Bo Pang, Zhong-Ping Jiang
2020 J jnl
Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems.
Autom.
Bo Pang, Zhong-Ping Jiang, Iven Mareels
2020 J jnl
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation.
CoRR
Bo Pang, Tao Bian, Zhong-Ping Jiang
2020 J jnl
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation.
CoRR
Bo Pang, Zhong-Ping Jiang
2019 J jnl
Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach.
CoRR
Bo Pang, Zhong-Ping Jiang
2019 — conf
Reinforcement Learning for Adaptive Periodic Linear Quadratic Control.
CDC
Bo Pang, Zhong-Ping Jiang, Iven Mareels
2018 — conf
Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems.
CDC
Bo Pang, Tao Bian, Zhong-Ping Jiang
2018 J jnl
ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler.
Eng. Appl. Artif. Intell.
Yin Cheng, Yuexin Huang, Bo Pang, Weidong Zhang
2017 J jnl
LMI Relaxations for Quadratic Stabilization of Guaranteed Cost Control of T-S Fuzzy Systems.
Int. J. Fuzzy Syst.
Bo Pang, Yunze Cai, Weidong Zhang
2016 J jnl
Exponentially stable guaranteed cost control for continuous and discrete-time Takagi-Sugeno fuzzy systems.
Neurocomputing
Bo Pang, Xiaocheng Liu, Qibing Jin, Weidong Zhang