| ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler Y Cheng, Y Huang, B Pang, W Zhang Engineering Applications of Artificial Intelligence 74, 303-311, 2018 | 58 | 2018 |
| Adaptive optimal control of linear periodic systems: An off-policy value iteration approach B Pang, ZP Jiang IEEE Transactions on Automatic Control 66 (2), 888-894, 2020 | 52 | 2020 |
| Robust policy iteration for continuous-time linear quadratic regulation B Pang, T Bian, ZP Jiang IEEE Transactions on Automatic Control 67 (1), 504-511, 2021 | 49 | 2021 |
| Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems B Pang, ZP Jiang, I Mareels Automatica 118, 109035, 2020 | 49 | 2020 |
| Adaptive dynamic programming for finite-horizon optimal control of linear time-varying discrete-time systems B Pang, T Bian, ZP Jiang Control theory and technology 17 (1), 73-84, 2019 | 36 | 2019 |
| Data-driven finite-horizon optimal control for linear time-varying discrete-time systems B Pang, T Bian, ZP Jiang 2018 IEEE Conference on Decision and Control (CDC), 861-866, 2018 | 27 | 2018 |
| Robust reinforcement learning: A case study in linear quadratic regulation B Pang, ZP Jiang Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9303-9311, 2021 | 26 | 2021 |
| Reinforcement learning for adaptive optimal stationary control of linear stochastic systems B Pang, ZP Jiang IEEE Transactions on Automatic Control 68 (4), 2383-2390, 2022 | 21 | 2022 |
| Exponentially stable guaranteed cost control for continuous and discrete-time Takagi–Sugeno fuzzy systems B Pang, X Liu, Q Jin, W Zhang Neurocomputing 205, 210-221, 2016 | 12 | 2016 |
| Data-driven adaptive optimal control of mixed-traffic connected vehicles in a ring road T Liu, L Cui, B Pang, ZP Jiang 2021 60th IEEE conference on decision and control (CDC), 77-82, 2021 | 10 | 2021 |
| Human motor learning is robust to control-dependent noise B Pang, L Cui, ZP Jiang Biological cybernetics 116 (3), 307-325, 2022 | 8 | 2022 |
| A unified framework for data-driven optimal control of connected vehicles in mixed traffic T Liu, L Cui, B Pang, ZP Jiang IEEE Transactions on Intelligent Vehicles, 2023 | 7 | 2023 |
| Learning-based adaptive optimal control of linear time-delay systems: A policy iteration approach L Cui, B Pang, ZP Jiang IEEE Transactions on Automatic Control, 2023 | 6 | 2023 |
| Robust reinforcement learning for stochastic linear quadratic control with multiplicative noise B Pang, ZP Jiang Trends in Nonlinear and Adaptive Control: A Tribute to Laurent Praly for his …, 2022 | 6 | 2022 |
| A data-driven approach for constrained infinite-horizon linear quadratic regulation B Pang, ZP Jiang 2020 59th IEEE Conference on Decision and Control (CDC), 6010-6015, 2020 | 4 | 2020 |
| Output tracking of boiler-turbine system by fuzzy guaranteed cost control B Pang, Y Zhao, B Yi, L Chen, W Zhang 2016 35th Chinese Control Conference (CCC), 3721-3726, 2016 | 4 | 2016 |
| Learning-based control of multiple connected vehicles in the mixed traffic by adaptive dynamic programming T Liu, L Cui, B Pang, ZP Jiang IFAC-PapersOnLine 54 (14), 370-375, 2021 | 3 | 2021 |
| LMI Relaxations for Quadratic Stabilization of Guaranteed Cost Control of T–S Fuzzy Systems B Pang, Y Cai, W Zhang International Journal of Fuzzy Systems 19, 1392-1405, 2017 | 3 | 2017 |
| Reinforcement learning for adaptive periodic linear quadratic control B Pang, ZP Jiang, I Mareels 2019 IEEE 58th Conference on Decision and Control (CDC), 3322-3327, 2019 | 1 | 2019 |
| Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control L Cui, B Pang, ZP Jiang 2023 62nd IEEE Conference on Decision and Control (CDC), 7944-7949, 2023 | | 2023 |
Zhong-Ping JiangProfessor of Electrical and Computer Engineering, Tandon School of Engineering, NYUVerified email at nyu.edu
