Lu Dong

Orcid: 0000-0001-6737-1381

Affiliations:

Southeast University, School of Cyber Science and Engineering, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Nanjing, China
University of Rhode Island, Department of Electrical, Computer, and Biomedical Engineering, Kingston, USA

According to our database¹, Lu Dong authored at least 32 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

Correction: Hierarchical reinforcement learning for kinematic control tasks with parameterized action spaces.

[BibT_eX]

[DOI]

Jingyu Cao

Lu Dong

Changyin Sun

Neural Comput. Appl., April, 2024

Switching-Event-Based Interval Type-2 Fuzzy Control for a Class of Uncertain Nonlinear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., February, 2024

Hierarchical reinforcement learning for kinematic control tasks with parameterized action spaces.

[BibT_eX]

[DOI]

Jingyu Cao

Lu Dong

Changyin Sun

Neural Comput. Appl., January, 2024

Multi-robot social-aware cooperative planning in pedestrian environments using attention-based actor-critic.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2024

2023

Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Event-based adaptive fuzzy tracking control for nonlinear systems with input magnitude and rate saturations.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., December, 2023

Hybrid Reinforcement Learning for Optimal Control of Non-Linear Switching System.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference.

[BibT_eX]

[DOI]

Neural Comput. Appl., August, 2023

Adaptive Deep Learning Network With Multi-Scale and Multi-Dimensional Features for Underwater Image Enhancement.

[BibT_eX]

[DOI]

Nianzu Qiao

Lu Dong

Changyin Sun

IEEE Trans. Broadcast., June, 2023

Multi-Task Reinforcement Learning With Attention-Based Mixture of Experts.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., June, 2023

Robust Navigation with Cross-Modal Fusion and Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-scale and Self-mutual Feature Distillation.

[BibT_eX]

[DOI]

Nianzu Qiao

Jia Sun

Lu Dong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Neural Network-Based Finite-Time Distributed Formation-Containment Control of Two-Layer Quadrotor UAVs.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Asynchronous Multithreading Reinforcement-Learning-Based Path Planning and Tracking for Unmanned Underwater Vehicle.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Robust Pose Estimation via Hybrid Point and Twin Line Reprojection for RGB-D Vision Navigation.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Critic Learning-Based Control for Robotic Manipulators With Prescribed Constraints.

[BibT_eX]

[DOI]

Yuncheng Ouyang

Lu Dong

Changyin Sun

IEEE Trans. Cybern., 2022

Efficient Exploration for Multi-Agent Reinforcement Learning via Transferable Successor Features.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Distributed output feedback consensus tracking control of multiple nonholonomic mobile robots with only position information of leader.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2022

2021

Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems.

[BibT_eX]

[DOI]

Changyin Sun

Wenzhang Liu

Lu Dong

IEEE Trans. Neural Networks Learn. Syst., 2021

Solver-Critic: A Reinforcement Learning Method for Discrete-Time-Constrained-Input Systems.

[BibT_eX]

[DOI]

Xin Yuan

Lu Dong

Changyin Sun

IEEE Trans. Cybern., 2021

Data-based optimal tracking of autonomous nonlinear switching systems.

[BibT_eX]

[DOI]

Xiaofeng Li

Lu Dong

Changyin Sun

IEEE CAA J. Autom. Sinica, 2021

Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Cooperative control for multi-player pursuit-evasion games with reinforcement learning.

[BibT_eX]

[DOI]

Yuanda Wang

Lu Dong

Changyin Sun

Neurocomputing, 2020

Neural network based tracking control for an elastic joint robot with input constraint via actor-critic design.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Event-triggered receding horizon control via actor-critic design.

[BibT_eX]

[DOI]

Lu Dong

Xin Yuan

Changyin Sun

Sci. China Inf. Sci., 2020

2019

Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Adaptive control based on neural networks for an uncertain 2-DOF helicopter system with input deadzone and output constraints.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2019

2017

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Robust optimal control for time-delay systems with dynamic uncertainties via ADP.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems.

[BibT_eX]

[DOI]

Lu Dong

Changyin Sun

Haibo He

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Lu Dong

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