Junkai Tan

Orcid: 0009-0002-0558-6357

According to our database1, Junkai Tan authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
Dynamic event-triggered finite-time actor-critic-identifier-based approximate optimal control for unknown nonlinear drifted systems.
Inf. Sci., 2026

2025
Sequence-Based Group Consensus for Heterogeneous Multi-Agent Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2025

Prescribed Performance Robust Approximate Optimal Tracking Control via Stackelberg Game.
IEEE Trans Autom. Sci. Eng., 2025

Hierarchical Safe Reinforcement Learning Control for Leader-Follower Systems With Prescribed Performance.
IEEE Trans Autom. Sci. Eng., 2025

Hybrid observer-based fixed-time tracking control for constrained nonlinear systems.
J. Frankl. Inst., 2025

Finite-time safe reinforcement learning control of multi-player nonzero-sum game for quadcopter systems.
Inf. Sci., 2025

Data-driven optimal shared control of unmanned aerial vehicles.
Neurocomputing, 2025

Neural observer-based fixed-time formation control of multiagent systems.
Neurocomputing, 2025

Dynamic embedding-based deep reinforcement learning for heterogeneous capacitated VRPs with unloading time constraints.
Expert Syst. Appl., 2025

2024
Fixed-Time Fault-Tolerant Control for Robotic Manipulators Based on Bias Neural Network with Input Saturation.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

Safe Stabilization Control for Interconnected Virtual-Real Systems via Model-based Reinforcement Learning.
Proceedings of the 14th Asian Control Conference, 2024

2023
Distributed edge-event-triggered consensus of multi-agent system under DoS attack.
Pattern Recognit. Lett., October, 2023

Safe Human-Machine Cooperative Game with Level-k Rationality Modeled Human Impact.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Nash Equilibrium Solution Based on Safety-Guarding Reinforcement Learning in Nonzero-Sum Game.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023


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