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Jinna Li
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2020 – today
- 2024
- [j28]Ding Wang
, Ning Gao
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications. IEEE CAA J. Autom. Sinica 11(1): 18-36 (2024) - [j27]Jinna Li, Lin Yuan, Weiran Cheng, Tianyou Chai, Frank L. Lewis:
Reinforcement Learning for Synchronization of Heterogeneous Multiagent Systems by Improved Q-Functions. IEEE Trans. Cybern. 54(11): 6545-6558 (2024) - 2023
- [j26]Jinna Li
Optimal operational self-learning control for multi-time scale industrial processes with signal compensations. Eng. Appl. Artif. Intell. 126: 107065 (2023) - [j25]Jinna Li
Consensus of Nonlinear Multiagent Systems With Uncertainties Using Reinforcement Learning Based Sliding Mode Control. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 424-434 (2023) - [j24]Li Zhang
Data-Driven H∞ Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3553-3567 (2023) - [c13]Jinna Li, Xinru Wang
Learning Based Optimal Sensor Selection for Linear Quadratic Control with Unknown Sensor Noise Covariance *. ACC 2023: 4173-4178 - 2022
- [j23]Lin Yuan
Consensus of Discrete-Time Nonlinear Multiagent Systems Using Sliding Mode Control Based on Optimal Control. IEEE Access 10: 47275-47283 (2022) - [j22]Jinna Li, Zhenfei Xiao, Jialu Fan, Tianyou Chai, Frank L. Lewis:
Off-policy Q-learning: Solving Nash equilibrium of multi-player games with network-induced delay and unmeasured state. Autom. 136: 110076 (2022) - [j21]Jinna Li
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty. IEEE Trans. Neural Networks Learn. Syst. 33(1): 270-280 (2022) - [c12]Danfeng Zhang, Jinna Li, Wenhua Tao:
Path following method for a snake robot based on virtual edge guidance strategy. ICCA 2022: 778-783 - [c11]Zhaowei Yang, Jinna Li, Xianming Lang:
Reinforcement learning for natural gas pipeline pressure control. ICCA 2022: 790-794 - 2020
- [j20]Jinna Li
H∞ Control for Discrete-Time Multi-Player Systems via Off-Policy Q-Learning. IEEE Access 8: 28831-28846 (2020) - [j19]Zhenfei Xiao, Jinna Li
Output Feedback H∞ Control for Linear Discrete-Time Multi-Player Systems With Multi-Source Disturbances Using Off-Policy Q-Learning. IEEE Access 8: 208938-208951 (2020) - [j18]Yi Jiang
Optimal Output Regulation of Linear Discrete-Time Systems With Unknown Dynamics Using Reinforcement Learning. IEEE Trans. Cybern. 50(7): 3147-3156 (2020) - [j17]Jinna Li
Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes. IEEE Trans. Cybern. 50(9): 4132-4145 (2020) - [j16]Wenqian Xue, Jialu Fan
New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales. IEEE Trans. Ind. Informatics 16(5): 3085-3099 (2020) - [c10]Yihan Zhang, Zhenfei Xiao, Jinna Li:
Data-driven tracking control approach for linear systems by on-policy Q-learning approach. ICARCV 2020: 1066-1070 - [c9]Weiran Cheng, Jinna Li:
Higher-order Polynomial Signal Tracking Control of Unknown Systems using Off-policy Integral Reinforcement Learning. ICARCV 2020: 1077-1081 - [c8]Zhenfei Xiao, Jinna Li, Jinliang Ding
Robust Optimal Tracking Control for Linear Systems via Adaptive Dynamic Programming method. ICCA 2020: 123-128 - [c7]Wei Dong
Graphical Minimax Game and On-Policy Reinforcement Learning for Consensus of Leaderless Multi-Agent Systems. ICCA 2020: 606-611
2010 – 2019
- 2019
- [j15]Jinna Li
Discrete-Time Multi-Player Games Based on Off-Policy Q-Learning. IEEE Access 7: 134647-134659 (2019) - [j14]Jinna Li
Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1308-1320 (2019) - [j13]Bosen Lian
Integrated Sliding Mode Control and Neural Networks Based Packet Disordering Prediction for Nonlinear Networked Control Systems. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2324-2335 (2019) - [c6]Jinna Li, Zhengtao Ding, Jiangtao Cao, Ping Li:
Adaptive learning: robust stabilization of two-player games with unmodeled dynamics. ICCA 2019: 863-868 - 2018
- [j12]Yang Wang
Model-Based Application of Fuzzy Control to a Class of Industrial Process Operation Systems With Uncertainty. IEEE Access 6: 23351-23360 (2018) - [j11]Feifei Zhang, Qingling Zhang, Jinna Li
Networked control for T-S fuzzy descriptor systems with network-induced delay and packet disordering. Neurocomputing 275: 2264-2278 (2018) - [j10]Jinna Li, Tianyou Chai, Frank L. Lewis, Jialu Fan, Zhengtao Ding, Jinliang Ding
Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes. IEEE Trans. Ind. Electron. 65(5): 4092-4102 (2018) - [j9]Yi Jiang
Data-Driven Flotation Industrial Process Operational Optimal Control Based on Reinforcement Learning. IEEE Trans. Ind. Informatics 14(5): 1974-1989 (2018) - [j8]Yi Jiang
Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4607-4620 (2018) - [c5]Jinna Li, Zhengtao Ding, Chunyu Yang, Hong Niu:
H∞ Control for Discrete-time Linear Systems by Integrating Off-policy Q-learning and Zero-sum Game. ICCA 2018: 817-822 - 2017
- [j7]Jinna Li
Off-Policy Reinforcement Learning: Optimal Operational Control for Two-Time-Scale Industrial Processes. IEEE Trans. Cybern. 47(12): 4547-4558 (2017) - [j6]Jinna Li
Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2434-2445 (2017) - [c4]Yifang Yan, Xiaoping Ma, Chunyu Yang, Jinna Li, Linna Zhou:
Sampled-data control for singularly perturbed systems with actuator saturation. ACC 2017: 5756-5761 - [c3]Jinna Li, Decheng Yuan, Zhengtao Ding:
Optimal tracking control for discrete-time systems by model-free off-policy Q-learning approach. ASCC 2017: 7-12 - 2016
- [j5]Chao Liu
Modeling and analysis in a prey-predator system with commercial harvesting and double time delays. Appl. Math. Comput. 281: 77-101 (2016) - 2014
- [j4]Chao Liu, Qingling Zhang, Jinna Li, Wenquan Yue:
Stability analysis in a delayed prey-predator-resource model with harvest effort and stage structure. Appl. Math. Comput. 238: 177-192 (2014) - [j3]Jinna Li, Peng Zeng
Joint Design of Transmission Rate and Control for Wireless Sensor Networked Control Systems. J. Electr. Comput. Eng. 2014: 158404:1-158404:8 (2014) - 2013
- [c2]Jinna Li, Lifeng Wei, Daqing Zhang, Chao Liu, Haibin Yu, Qingling Zhang:
Sampling rate tracking control of networked control systems based on cognitive knowledge of packet disordering. ASCC 2013: 1-8 - [c1]Daqing Zhang, Mengmeng Li, Jinna Li:
A data-driven methodology for solving the control strategy of descriptor systems. ASCC 2013: 1-6 - 2012
- [j2]Jinna Li, Yuan Li, Haibin Yu, Yanhong Xie, Cheng Zhang:
Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set. J. Appl. Math. 2012: 809243:1-809243:17 (2012)
2000 – 2009
- 2009
- [j1]Jinna Li, Qingling Zhang, Min Cai:
Modelling and robust stability of networked control systems with packet reordering and long delay. Int. J. Control 82(10): 1773-1785 (2009)
Coauthor Index
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