| Data-driven flotation industrial process operational optimal control based on reinforcement learning Y Jiang, J Fan, T Chai, J Li, FL Lewis IEEE Transactions on Industrial Informatics 14 (5), 1974-1989, 2018 | 167 | 2018 |
| Off-Policy Interleaved -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems J Li, T Chai, FL Lewis, Z Ding, Y Jiang IEEE Transactions on Neural Networks and Learning Systems 30 (5), 1308-1320, 2019 | 141 | 2019 |
| Tracking control for linear discrete-time networked control systems with unknown dynamics and dropout Y Jiang, J Fan, T Chai, FL Lewis, J Li IEEE Transactions on Neural Networks and Learning Systems 29 (10), 4607-4620, 2018 | 129 | 2018 |
| Optimal output regulation of linear discrete-time systems with unknown dynamics using reinforcement learning Y Jiang, B Kiumarsi, J Fan, T Chai, J Li, FL Lewis IEEE Transactions on Cybernetics 50 (7), 3147-3156, 2020 | 121 | 2020 |
| Value iteration and adaptive optimal output regulation with assured convergence rate Y Jiang, W Gao, J Na, D Zhang, TT Hämäläinen, V Stojanovic, FL Lewis Control Engineering Practice 121, 105042, 2022 | 108 | 2022 |
| Dual-rate operational optimal control for flotation industrial process with unknown operational model Y Jiang, J Fan, T Chai, FL Lewis IEEE Transactions on Industrial Electronics 66 (6), 4587-4599, 2019 | 107 | 2019 |
| Cooperative adaptive optimal output regulation of nonlinear discrete-time multi-agent systems Y Jiang, J Fan, W Gao, T Chai, FL Lewis Automatica 121, 109149, 2020 | 105 | 2020 |
| Resilient reinforcement learning and robust output regulation under denial-of-service attacks W Gao, C Deng, Y Jiang, ZP Jiang Automatica 142, 110366, 2022 | 79 | 2022 |
| Reinforcement learning and cooperative output regulation of linear continuous-time multi-agent systems Y Jiang, W Gao, J Wu, T Chai, FL Lewis Automatica 148, 110768, 2023 | 65 | 2023 |
| Operational Control of Mineral Grinding Processes Using Adaptive Dynamic Programming and Reference Governor X Lu, B Kiumarsi, T Chai, Y Jiang, FL Lewis IEEE Transactions on Industrial Informatics 15 (4), 2210-2221, 2019 | 59 | 2019 |
| New methods for optimal operational control of industrial processes using reinforcement learning on two time-scales W Xue, J Fan, VG Lopez, J Li, Y Jiang, T Chai, FL Lewis IEEE Transactions on Industrial Informatics 16 (5), 3085-3099, 2020 | 56 | 2020 |
| Robust Output Regulation and Reinforcement Learning-based Output Tracking Design for Unknown Linear Discrete-Time Systems C Chen, L Xie, Y Jiang, K Xie, S Xie IEEE Transactions on Automatic Control 68 (4), 2391-2398, 2023 | 54 | 2023 |
| Model-Free Optimal Output Regulation for Linear Discrete-Time Lossy Networked Control Systems J Fan, Q Wu, Y Jiang, T Chai, FL Lewis IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4033-4042, 2020 | 53 | 2020 |
| Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales W Xue, J Fan, VG Lopez, Y Jiang, T Chai, FL Lewis IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4334-4346, 2021 | 49 | 2021 |
| 无线网络环境下工业过程运行反馈控制方法 范家璐， 姜艺， 柴天佑 自动化学报 42 (8), 1166-1174, 2016 | 33* | 2016 |
| MPC-based setpoint compensation with unreliable wireless communications and constrained operational conditions J Fan, Y Jiang, T Chai Neurocomputing 270, 110-121, 2017 | 24 | 2017 |
| 基于 RBF 神经网络自适应 PID 四旋翼飞行器控制 李砚浓， 李汀兰， 姜艺， 范家璐 控制工程 23 (3), 378-382, 2016 | 22* | 2016 |
| Simultaneous Hand-Eye/Robot-World/Camera-IMU Calibration J Wu, M Wang, Y Jiang, B Yi, R Fan, M Liu IEEE/ASME Transactions on Mechatronics 27 (4), 2278-2289, 2022 | 21 | 2022 |
| Setpoint dynamic compensation via output feedback control with network induced time delays Y Jiang, J Fan, T Chai, T Chen 2015 American Control Conference (ACC), 5384-5389, 2015 | 20 | 2015 |
| Adaptive optimal control of networked nonlinear systems with stochastic sensor and actuator dropouts based on reinforcement learning Y Jiang, L Liu, G Feng IEEE Transactions on Neural Networks and Learning Systems 35 (3), 3107-3120, 2024 | 19 | 2024 |
F.L. Lewisprofessor of electrical engineering, The University of Texas at ArlingtonVerified email at uta.edu
