Rui Luo

Orcid: 0000-0002-3571-7461

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Rui Luo authored at least 13 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Optimal Consensus Control for Multi-Agent Systems With Unknown Dynamics and States of Leader: A Distributed KREM Learning Method.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Optimal Robust Control of Nonlinear Systems with Unknown Dynamics via NN Learning with Relaxed Excitation.
Entropy, January, 2024

Learning-Based Tracking Control of Unknown Robot Systems with Online Parameter Estimation.
Proceedings of the American Control Conference, 2024

2023
Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions.
Neural Networks, October, 2023

2022
Optimal Tracking Control of Nonlinear Multiagent Systems Using Internal Reinforce Q-Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Distributed Optimal Tracking Control of Discrete-Time Multiagent Systems via Event-Triggered Reinforcement Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Tracking Control for Motion Constrained Robotic System via Dynamic Event-Sampled Intelligent Learning Method.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Input-Output Data-Based Output Antisynchronization Control of Multiagent Systems Using Reinforcement Learning Approach.
IEEE Trans. Ind. Informatics, 2021

Adaptive Event-Triggered Motion Tracking Control Strategy for a Lower Limb Rehabilitation Exoskeleton.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Internal reinforcement adaptive dynamic programming for optimal containment control of unknown continuous-time multi-agent systems.
Neurocomputing, 2020

Data-Driven Optimal Assistance Control of a Lower Limb Exoskeleton for Hemiplegic Patients.
Frontiers Neurorobotics, 2020

A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning.
Appl. Math. Comput., 2020

Data-Driven Reinforcement Learning for Walking Assistance Control of a Lower Limb Exoskeleton with Hemiplegic Patients.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020


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