Publications | 发表论文

Papers in Press | 最新录用

Dongdong Li^#, Jiuxiang Dong*. Filtered Data-based Reinforcement Learning for Cooperative Optimal Control of Intelligent Autonomous Vehicles with Unknown Parameters. IEEE Transactions on Intelligent Transportation Systems , pp. 1-12, 2026, doi: 10.1109/TITS.2026.3679949.
Dongdong Li^#, Jiuxiang Dong*. Virtual Policy Iteration-based H∞ Robust Optimal Output Synchronization for Unknown Linear Multi-Agent Systems. IEEE/CAA Journal of Automatica Sinica , doi: 10.1109/JAS.2026.125858, 2026.

Journal Papers | 期刊论文

Dongdong Li^#, Jiuxiang Dong*. Filtered Data-based Reinforcement Learning for Cooperative Optimal Control of Intelligent Autonomous Vehicles with Unknown Parameters. IEEE Transactions on Intelligent Transportation Systems , pp. 1-12, 2026, doi: 10.1109/TITS.2026.3679949.
Dongdong Li^#, Jiuxiang Dong*. Virtual Policy Iteration-based H∞ Robust Optimal Output Synchronization for Unknown Linear Multi-Agent Systems. IEEE/CAA Journal of Automatica Sinica , doi: 10.1109/JAS.2026.125858, 2026.
Dongdong Li^#, Jiuxiang Dong*. Adaptive optimal control of discrete-time systems by reinforcement learning: damping coefficients-based stabilizing policy iterations. SCIENCE CHINA Information Sciences , 2026, 69(6): 162202. [BibTex] [Link]

@article{li2026adaptive,
  title={Adaptive optimal control of discrete-time systems by reinforcement learning: damping coefficients-based stabilizing policy iterations},
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={Science China Information Sciences},
  volume={69},
  number={6},
  pages={162202},
  year={2026},
  publisher={Springer}
}

Dongdong Li^#, Jiuxiang Dong*. Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks. IEEE Transactions on Automatic Control , vol. 71, no. 4, pp. 2746-2753, April 2026, doi: 10.1109/TAC.2025.3631555. [BibTex] [Link]

 @ARTICLE{11240189,
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={IEEE Transactions on Automatic Control}, 
  title={Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks}, 
  year={2026},
  volume={71},
  number={4},
  pages={2746-2753},
  keywords={Q-learning;Mathematical models;Regulators;Optimal control;Multi-agent systems;Silicon;Vectors;Regulation;Process control;Observers;Multiagent systems (MASs);optimal output tracking;policy iteration (PI);  $Q$  -learning;reinforcement learning (RL);stabilizing control policy},
  doi={10.1109/TAC.2025.3631555}}

Dongdong Li^#, Jiuxiang Dong*. Output-Feedback Stabilizing Policy Iteration for Convergence Assurance of Unknown Discrete-Time Systems with Unmeasurable States. arXiv preprint , arXiv:2511.22160, 2025. [BibTex] [Link]

 @article{bib_li2025output,
  title={Output-Feedback Stabilizing Policy Iteration for Convergence Assurance of Unknown Discrete-Time Systems with Unmeasurable States},
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={arXiv preprint arXiv:2511.22160},
  year={2025}
}

Dongdong Li^#,Guangjing Song, Jiuxiang Dong*. Learning-Based Data-Driven Cooperative Adaptive Fault-Tolerant Tracking of Heterogeneous Multi-Agent Systems. IEEE Internet of Things Journal, vol. 12, no. 22, pp. 47414-47423, 15 Nov.15, 2025, doi: 10.1109/JIOT.2025.3602495. [BibTex] [Link]

	@ARTICLE{11143160,
  author={Li, Dongdong and Song, Guangjing and Dong, Jiuxiang},
  journal={IEEE Internet of Things Journal}, 
  title={Learning-Based Data-Driven Cooperative Adaptive Fault-Tolerant Tracking of Heterogeneous Multiagent Systems}, 
  year={2025},
  volume={12},
  number={22},
  pages={47414-47423},
  keywords={Actuators;Mathematical models;Fault tolerant systems;Fault tolerance;Adaptation models;Optimal control;Vehicle dynamics;Regulation;Multi-agent systems;Learning systems;Actuator faults;data-driven;fault-tolerant control (FTC);multiagent systems (MASs);online learning},
  doi={10.1109/JIOT.2025.3602495}}

Dongdong Li^#, Jiuxiang Dong*. Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks and Analysis. arXiv preprint , arXiv:2501.06510, 2025. [BibTex] [Link]

 @article{li2025cooperative,
  title={Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks and Analysis},
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={arXiv preprint arXiv:2501.06510},
  year={2025}
}

Dongdong Li^#, Jiuxiang Dong*. Data-Based Efficient Off-Policy Stabilizing Optimal Control Algorithms for Discrete-Time Linear Systems via Damping Coefficients. arXiv preprint , arXiv:2412.20845, 2024. [BibTex] [Link]

 @article{li2024data,
  title={Data-Based Efficient Off-Policy Stabilizing Optimal Control Algorithms for Discrete-Time Linear Systems via Damping Coefficients},
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={arXiv preprint arXiv:2412.20845},
  year={2024}
}

Dongdong Li^#, Jiuxiang Dong*. Off-Policy Learning H∞ Cooperative Optimal Output Regulation for Unknown Multiagent Systems Without Initial Stabilizing Gains. IEEE Transactions on Industrial Informatics , vol. 20, no. 11, pp. 13441-13451, Nov. 2024, doi:10.1109/TII.2024.3435576. [BibTex] [Link]

	@ARTICLE{10634984,
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={IEEE Transactions on Industrial Informatics}, 
  title={Off-Policy Learning $H_{\infty }$ Cooperative Optimal Output Regulation for Unknown Multiagent Systems Without Initial Stabilizing Gains}, 
  year={2024},
  volume={20},
  number={11},
  pages={13441-13451},
  keywords={Regulation;Optimal control;Observers;Optimization;Regulators;Matrix decomposition;Mathematical models;  $H_{\infty }$   optimal output regulation;multiagent systems (MASs);policy iteration (PI);reinforcement learning (RL)},
  doi={10.1109/TII.2024.3435576}}

Dongdong Li^#, Jiuxiang Dong*. Approximate Optimized Backstepping Control of Uncertain Fractional-Order Nonlinear Systems Based on Reinforcement Learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems , vol. 54, no. 11, pp. 6723-6732, Nov. 2024, doi: 10.1109/TSMC.2024.3426923. [BibTex] [Link]

	@ARTICLE{10634825,
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, 
  title={Approximate Optimized Backstepping Control of Uncertain Fractional-Order Nonlinear Systems Based on Reinforcement Learning}, 
  year={2024},
  volume={54},
  number={11},
  pages={6723-6732},
  keywords={Optimal control;Backstepping;Artificial neural networks;Adaptive control;Reinforcement learning;Cost function;Trajectory;Backstepping;fractional-order systems;neural network (NN);optimal control;reinforcement learning (RL)},
  doi={10.1109/TSMC.2024.3426923}}

Dongdong Li^#, Jiuxiang Dong*. Fractional-Order Systems Optimal Control via Actor-Critic Reinforcement Learning and Its Validation for Chaotic MFET. IEEE Transactions on Automation Science and Engineering , vol. 22, pp. 1173-1182, 2025, doi: 10.1109/TASE.2024.3361213. [BibTex] [Link]

	@ARTICLE{10440013,
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={IEEE Transactions on Automation Science and Engineering}, 
  title={Fractional-Order Systems Optimal Control via Actor-Critic Reinforcement Learning and Its Validation for Chaotic MFET}, 
  year={2025},
  volume={22},
  number={},
  pages={1173-1182},
  keywords={Optimal control;Cost function;Trajectory;Nonlinear systems;Heuristic algorithms;Costs;Automation;Fractional-order systems;optimal control;reinforcement learning (RL);neural networks;adaptive dynamic programming},
  doi={10.1109/TASE.2024.3361213}}

Dongdong Li^#, Jiuxiang Dong*. Approximate Optimal Robust Tracking Control Based on State Error and Derivative Without Initial Admissible Input. IEEE Transactions on Systems, Man, and Cybernetics: Systems , vol. 54, no. 2, pp. 1059-1069, Feb. 2024, doi: 10.1109/TSMC.2023.3320653. [BibTex] [Link]

	@ARTICLE{10302390,
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, 
  title={Approximate Optimal Robust Tracking Control Based on State Error and Derivative Without Initial Admissible Input}, 
  year={2024},
  volume={54},
  number={2},
  pages={1059-1069},
  keywords={Cost function;Optimal control;Steady-state;Control systems;Approximation algorithms;Convergence;Trajectory;Adaptive dynamic programming (ADP);neural network (NN);optimal tracking control (OTC);policy iteration (PI);robust tracking control (RTC)},
  doi={10.1109/TSMC.2023.3320653}}

Dongdong Li^#, Jiuxiang Dong*. Fuzzy Weight-Based Reinforcement Learning for Event-Triggered Optimal Backstepping Control of Fractional-Order Nonlinear Systems. IEEE Transactions on Fuzzy Systems , vol. 32, no. 1, pp. 214-225, Jan. 2024, doi: 10.1109/TFUZZ.2023.3294928. ( ESI Highly Cited Paper | ESI高被引论文) [BibTex] [Link]

	@ARTICLE{10184190,
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={IEEE Transactions on Fuzzy Systems}, 
  title={Fuzzy Weight-Based Reinforcement Learning for Event-Triggered Optimal Backstepping Control of Fractional-Order Nonlinear Systems}, 
  year={2024},
  volume={32},
  number={1},
  pages={214-225},
  keywords={Optimal control;Mathematical models;Fuzzy logic;Calculus;Nonlinear systems;Performance analysis;Lyapunov methods;Event-triggered;fractional-order nonlinear systems (FONSs);fuzzy logic systems (FLSs);fuzzy weight training;optimal backstepping control;reinforcement learning (RL)},
  doi={10.1109/TFUZZ.2023.3294928}}

Dongdong Li^#, Jiuxiang Dong*. Fuzzy Control Based on Reinforcement Learning and Subsystem Error Derivatives for Strict-Feedback Systems With an Observer. IEEE Transactions on Fuzzy Systems , vol. 31, no. 8, pp. 2509-2521, Aug. 2023, doi: 10.1109/TFUZZ.2022.3227993. [BibTex] [Link]

	@ARTICLE{9979784,
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={IEEE Transactions on Fuzzy Systems}, 
  title={Fuzzy Control Based on Reinforcement Learning and Subsystem Error Derivatives for Strict-Feedback Systems With an Observer}, 
  year={2023},
  volume={31},
  number={8},
  pages={2509-2521},
  keywords={Cost function;Optimal control;Observers;Fuzzy logic;Costs;Backstepping;Steady-state;Adaptive dynamic programming (ADP);fuzzy adaptive control;fuzzy logic systems (FLSs);fuzzy state observer;optimized backstepping control (OBC);reinforcement learning (RL)},
  doi={10.1109/TFUZZ.2022.3227993}}

Dongdong Li^#, Jiuxiang Dong*. Output-feedback optimized consensus for directed graph multi-agent systems based on reinforcement learning and subsystem error derivatives. Information Sciences , 2023, 649: 119577. DOI:10.1016/j.ins.2023.119577. [BibTex] [Link]

	@article{li2023output,
  title={Output-feedback optimized consensus for directed graph multi-agent systems based on reinforcement learning and subsystem error derivatives},
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={Information Sciences},
  volume={649},
  pages={119577},
  year={2023},
  publisher={Elsevier}}

Dongdong Li^#, Jiuxiang Dong*. Performance-constrained fault-tolerant DSC based on reinforcement learning for nonlinear systems with uncertain parameters. Applied Mathematics and Computation , 2023, 443: 127759. DOI: 10.1016/j.amc.2022.127759. [BibTex] [Link]

	@article{li2023performance,
  title={Performance-constrained fault-tolerant DSC based on reinforcement learning for nonlinear systems with uncertain parameters},
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={Applied Mathematics and Computation},
  volume={443},
  pages={127759},
  year={2023},
  publisher={Elsevier}
}

Dongdong Li^#, Jiuxiang Dong*. Robust control for a class of nonlinear systems with input constraints based on actor-critic learning. International Journal of Robust and Nonlinear Control , 2024, 34(12): 7635-7654. DOI: 10.1002/rnc.6190. [BibTex] [Link]

	@article{li2024robust,
  title={Robust control for a class of nonlinear systems with input constraints based on actor-critic learning},
  author={Li, Dongdong and Dong, Jiuxiang},
  journal={International Journal of Robust and Nonlinear Control},
  volume={34},
  number={12},
  pages={7635--7654},
  year={2024},
  publisher={Wiley Online Library}
}

Invited Talks | 受邀报告

非线性分数阶系统控制与优化. 第二届自动化领域青年学生交流会, 2024年8月17日, 线上. [Link]

Thesis | 学位论文

李冬冬. 基于自适应动态规划的不确定非线性系统改进最优跟踪控制. 硕士学位论文, 东北大学, 沈阳, 中国, 2023. ( 辽宁省优秀硕士学位论文奖)
Dongdong Li. Improved Optimal Tracking Control of Uncertain Nonlinear Systems Based on Adaptive Dynamic Programming. M.S. Thesis, Northeastern University, Shenyang, China, 2023. (Excellent Master Dissertation Award of Liaoning Province)