Dongdong Li
Orcid: 0000-0002-8814-146XAffiliations:
- Northeastern University, College of Information Science and Engineering, Shenyang, China
According to our database1,
Dongdong Li authored at least 13 papers
between 2023 and 2026.
Collaborative distances:
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Bibliography
2026
Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks.
IEEE Trans. Autom. Control., April, 2026
2025
Output-Feedback Stabilizing Policy Iteration for Convergence Assurance of Unknown Discrete-Time Systems with Unmeasurable States.
CoRR, November, 2025
Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks and Analysis.
CoRR, January, 2025
Fractional-Order Systems Optimal Control via Actor-Critic Reinforcement Learning and Its Validation for Chaotic MFET.
IEEE Trans Autom. Sci. Eng., 2025
Learning-Based Data-Driven Cooperative Adaptive Fault-Tolerant Tracking of Heterogeneous Multiagent Systems.
IEEE Internet Things J., 2025
2024
Approximate Optimized Backstepping Control of Uncertain Fractional-Order Nonlinear Systems Based on Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Off-Policy Learning $H_{\infty }$ Cooperative Optimal Output Regulation for Unknown Multiagent Systems Without Initial Stabilizing Gains.
IEEE Trans. Ind. Informatics, November, 2024
Approximate Optimal Robust Tracking Control Based on State Error and Derivative Without Initial Admissible Input.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Fuzzy Weight-Based Reinforcement Learning for Event-Triggered Optimal Backstepping Control of Fractional-Order Nonlinear Systems.
IEEE Trans. Fuzzy Syst., January, 2024
Data-Based Efficient Off-Policy Stabilizing Optimal Control Algorithms for Discrete-Time Linear Systems via Damping Coefficients.
CoRR, 2024
2023
Output-feedback optimized consensus for directed graph multi-agent systems based on reinforcement learning and subsystem error derivatives.
Inf. Sci., November, 2023
Fuzzy Control Based on Reinforcement Learning and Subsystem Error Derivatives for Strict-Feedback Systems With an Observer.
IEEE Trans. Fuzzy Syst., 2023
Performance-constrained fault-tolerant DSC based on reinforcement learning for nonlinear systems with uncertain parameters.
Appl. Math. Comput., 2023