Publications

Papers Submitted

Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control.
Leilei Cui, Bo Pang, Zhong-Ping Jiang.
2023 IEEE 62nd Conference on Decision and Control (CDC2023), Under Review.

Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach.
Leilei Cui, Bo Pang, Zhong-Ping Jiang.
IEEE Transactions on Automatic Control, Under Review. [Preprint]

Learning-Based Adaptive Optimal Control of Mixed-Traffic Connected Vehicles.
Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang.
IEEE Transactions on Intelligent Transportation Systems, Under Review.

Book Chapters

Robust Reinforcement Learning for Stochastic Linear Quadratic Control with Multiplicative Noise. [Link]
Bo Pang, Zhong-Ping Jiang.
Book chapter in Trends in Nonlinear and Adaptive Control: A Tribute to Laurent Praly for his 65th birthday, Springer, 2021.

Journal Papers

Reinforcement Learning for Optimal Stationary Control of Linear Stochastic Systems. [Link] [Code]
Bo Pang, Zhong-Ping Jiang.
IEEE Transactions on Automatic Control, Accepted, 2022.

Human Motor Learning is Robust to Control-Dependent Noise. [Link] [Code]
Bo Pang, Leilei Cui and Zhong-Ping Jiang.
Biological Cybernetics, 2022. Dr. Li Annual ECE Publication Award @ NYU.

Robust Policy Iteration for Continuous-time Linear Quadratic Regulation. [Link]
Bo Pang, Tao Bian, Zhong-Ping Jiang.
IEEE Transactions on Automatic Control, Early Access, 2021.

Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach. [Link] [Code]
Bo Pang, Zhong-Ping Jiang.
IEEE Transactions on Automatic Control, Vol. 66, No. 2, pp. 888–894, 2021

Reinforcement Learning for Adaptive Control of Continuous-time Linear Periodic Systems. [Link]
Bo Pang, Zhong-Ping Jiang, Iven Mareels.
Automatica, Vol. 118, 2020

Adaptive Dynamic Programming for Finite-horizon Optimal Control of Linear Time-varying Discrete-time Systems. [Link][Code]
Bo Pang, Tao Bian, Zhong-Ping Jiang.
Control Theory and Technology, Vol. 17, No. 1, pp. 73–84, 2019. 2020 Best Paper Award.

ThermalNet: A Deep Reinforcement Learning-based Combustion Optimization System for Coal-fired Boiler. [Link]
Yin Cheng, Yuexin Huang, Bo Pang, Weidong Zhang.
Engineering Applicaitons of Artificial Intelligence, Vol. 74, pp. 303–311, 2018

LMI Relaxations for Quadratic Stabilization of Guaranteed Cost Control of T–S Fuzzy Systems. [Link]
Bo Pang, Yunze Cai, Weidong Zhang.
International Journal of Fuzzy Systems, Vol. 19, No. 5, pp. 1392–1405, 2017

Exponentially Stable Guaranteed Cost Control for Continuous and Discrete-time Takagi–Sugeno Fuzzy Systems. [Link]
Bo Pang, Xiaocheng Liu, Qibing Jin, Weidong Zhang.
Neurocomputing, Vol. 205, pp. 210–221, 2016

Conference Papers

Learning Adaptive Optimal Controllers for Linear Time-Delay Systems.
Leilei Cui, Bo Pang and Zhong-Ping Jiang.
2023 American Control Conference (ACC2023), San Diego, CA, USA, Accepted, 2023.

A Value Iteration Approach to Adaptive Optimal Control of Linear Time-Delay Systems.
Leilei Cui, Bo Pang and Zhong-Ping Jiang.
2023 22nd IFAC World Congress (IFAC2023), Yokohama, Japan, Accepted, 2023.

Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road. [Link]
Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang.
2021 IEEE 60th Conference on Decision and Control (CDC2021), pp. 77-82, Austin, TX, USA.

Learning-Based Control of Multiple Connected Vehicles in the Mixed Traffic by Adaptive Dynamic Programming. [Link]
Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang.
2021 3rd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON2021), Vol. 54, no. 14, pp. 370-375.

Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation. [Link] [Code]
Bo Pang, Zhong-Ping Jiang.
2021 35th AAAI Conference on Artificial Intelligence (AAAI2021), pp. 9303-9311, A Virtual Conference.

A Data-driven Approach for Constrained Infinite-Horizon Linear Quadratic Regulation. [Link] [Code]
Bo Pang, Zhong-Ping Jiang.
2020 IEEE 59th Conference on Decision and Control (CDC2020), pp. 6010-6015, Jeju Island, Republic of Korea.

Reinforcement Learning for Adaptive Periodic Linear Quadratic Control. [Link]
Bo Pang, Zhong-Ping Jiang, Iven Mareels.
2019 IEEE 58th Conference on Decision and Control (CDC2019), pp. 3322–3327, Nice, France.

Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems. [Link] [Code]
Bo Pang, Tao Bian, Zhong-Ping Jiang.
2018 IEEE 57th Conference on Decision and Control (CDC2018), pp. 861–866, Miami Beach, FL, USA.

Output Tracking of Boiler-turbine System by Fuzzy Guaranteed Cost Control. [Link]
Bo Pang, Yadong Zhao, Bowen Yi, Liyue Chen, Weidong Zhang.
2016 35th Chinese Control Conference (CCC2016), pp. 3721–3726, Chengdu, China.

Finite-time Distributed Observers for Position and Velocity Estimation in Vehicle Formations. [Link]
Yadong Zhao, Bo Pang, Fei Ye, Weidong Zhang.
2016 35th Chinese Control Conference (CCC2016), pp. 7598–7603, Chengdu, China.