Mingduo Lin
Orcid: 0000-0002-7456-2183
According to our database1,
Mingduo Lin authored at least 10 papers
between 2022 and 2026.
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Bibliography
2026
Federated Learning Adaptive Dynamic Programming for Massive Multiagent Mean-Field Games-Based Optimal Consensus.
IEEE Trans. Cybern., February, 2026
Event-triggered decentralized adaptive critic learning control for interconnected systems with nonlinear inequality state constraints.
Neural Networks, 2026
2025
Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., March, 2025
Distributed Fault-Tolerant Consensus Control Based on Zero-Sum Differential Games for Nonlinear Multi-agent Systems.
Proceedings of the Advances in Neural Networks - ISNN 2025, 2025
2024
Event-Triggered Robust Adaptive Dynamic Programming for Multiplayer Stackelberg-Nash Games of Uncertain Nonlinear Systems.
IEEE Trans. Cybern., January, 2024
Fault-tolerant tracking control for nonlinear systems with multiplicative actuator faults in view of zero-sum differential games.
Neurocomputing, January, 2024
Massive Multi-agent Mean-Field Game Using Online Federated Adaptive Critic-Density Learning.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
2023
Policy Optimization Adaptive Dynamic Programming for Optimal Control of Input-Affine Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
Policy gradient adaptive dynamic programming for nonlinear discrete-time zero-sum games with unknown dynamics.
Soft Comput., May, 2023
2022
Policy Gradient Adaptive Critic Designs for Model-Free Optimal Tracking Control With Experience Replay.
IEEE Trans. Syst. Man Cybern. Syst., 2022