Jinna Li
Orcid: 0000-0001-9985-6308
According to our database1,
Jinna Li
authored at least 39 papers
between 2009 and 2024.
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Bibliography
2024
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications.
IEEE CAA J. Autom. Sinica, January, 2024
2023
Data-Driven H<sub>∞</sub> Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
Consensus of Nonlinear Multiagent Systems With Uncertainties Using Reinforcement Learning Based Sliding Mode Control.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2023
Learning Based Optimal Sensor Selection for Linear Quadratic Control with Unknown Sensor Noise Covariance <sup>*</sup>.
Proceedings of the American Control Conference, 2023
2022
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty.
IEEE Trans. Neural Networks Learn. Syst., 2022
Off-policy Q-learning: Solving Nash equilibrium of multi-player games with network-induced delay and unmeasured state.
Autom., 2022
Consensus of Discrete-Time Nonlinear Multiagent Systems Using Sliding Mode Control Based on Optimal Control.
IEEE Access, 2022
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
2020
New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales.
IEEE Trans. Ind. Informatics, 2020
Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes.
IEEE Trans. Cybern., 2020
Optimal Output Regulation of Linear Discrete-Time Systems With Unknown Dynamics Using Reinforcement Learning.
IEEE Trans. Cybern., 2020
Output Feedback H∞ Control for Linear Discrete-Time Multi-Player Systems With Multi-Source Disturbances Using Off-Policy Q-Learning.
IEEE Access, 2020
H<sub>∞</sub> Control for Discrete-Time Multi-Player Systems via Off-Policy Q-Learning.
IEEE Access, 2020
Robust Optimal Tracking Control for Linear Systems via Adaptive Dynamic Programming method.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
Graphical Minimax Game and On-Policy Reinforcement Learning for Consensus of Leaderless Multi-Agent Systems.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
Data-driven tracking control approach for linear systems by on-policy Q-learning approach.
Proceedings of the 16th International Conference on Control, 2020
Higher-order Polynomial Signal Tracking Control of Unknown Systems using Off-policy Integral Reinforcement Learning.
Proceedings of the 16th International Conference on Control, 2020
2019
Integrated Sliding Mode Control and Neural Networks Based Packet Disordering Prediction for Nonlinear Networked Control Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019
Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2018
Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout.
IEEE Trans. Neural Networks Learn. Syst., 2018
Data-Driven Flotation Industrial Process Operational Optimal Control Based on Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2018
Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes.
IEEE Trans. Ind. Electron., 2018
Networked control for T-S fuzzy descriptor systems with network-induced delay and packet disordering.
Neurocomputing, 2018
Model-Based Application of Fuzzy Control to a Class of Industrial Process Operation Systems With Uncertainty.
IEEE Access, 2018
H∞ Control for Discrete-time Linear Systems by Integrating Off-policy Q-learning and Zero-sum Game.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Off-Policy Reinforcement Learning: Optimal Operational Control for Two-Time-Scale Industrial Processes.
IEEE Trans. Cybern., 2017
Optimal tracking control for discrete-time systems by model-free off-policy Q-learning approach.
Proceedings of the 11th Asian Control Conference, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Modeling and analysis in a prey-predator system with commercial harvesting and double time delays.
Appl. Math. Comput., 2016
2014
Joint Design of Transmission Rate and Control for Wireless Sensor Networked Control Systems.
J. Electr. Comput. Eng., 2014
Stability analysis in a delayed prey-predator-resource model with harvest effort and stage structure.
Appl. Math. Comput., 2014
2013
Proceedings of the 9th Asian Control Conference, 2013
Sampling rate tracking control of networked control systems based on cognitive knowledge of packet disordering.
Proceedings of the 9th Asian Control Conference, 2013
2012
Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set.
J. Appl. Math., 2012
2009
Modelling and robust stability of networked control systems with packet reordering and long delay.
Int. J. Control, 2009