Teng-Fei Ding

According to our database, Teng-Fei Ding authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hierarchical Piecewise-Trajectory Planning Framework for Autonomous Ground Vehicles Considering Motion Limitation and Energy Consumption.

Mai-Kao Lu, Ming-Feng Ge, Teng-Fei Ding, Liang Zhong, Zhi-Wei Liu

IEEE Internet Things J., September, 2024

Predefined-Time Fuzzy Reinforcement Learning Control for Secure Surrounding Formation of NMSVs With DoS Attacks.

Teng-Fei Ding, Han-Yu Zhang, Ming-Feng Ge, Zhi-Wei Liu

IEEE Trans. Fuzzy Syst., July, 2024

Reinforcement Learning Formation Tracking of Networked Autonomous Surface Vehicles With Bounded Inputs via Cloud-Supported Communication.

Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Leimin Wang, Jie Liu

IEEE Trans. Intell. Veh., January, 2024

Practical Resource Allocation of Networked Euler-Lagrange Agents With Quantized-Data Interactions and Arbitrary Bounded Uncertainties.

Teng-Fei Ding, Li-Ping Song, Ming-Feng Ge, Zhi-Wei Liu, Ming Chi

IEEE Trans. Netw. Sci. Eng., 2024

Cluster Time-Varying Formation-Containment Tracking of Networked Robotic Systems Via Hierarchical Prescribed-Time ESO-Based Control.

Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Ming Chi, Choon Ki Ahn

IEEE Trans. Netw. Sci. Eng., 2024

Performance-guaranteed prescribed-time bipartite consensus of networked Lagrangian agents with bounded inputs and signed digraphs.

Teng-Fei Ding, Sheng Gong, Ming-Feng Ge, Zhi-Wei Liu, Zhe-Mei Fang

J. Frankl. Inst., 2024

2023

Distributed Sensor-Tolerant MPC for Formation Tracking of Networked Multicopters With Input/State Constraints.

Si-Sheng Liu, Ming-Feng Ge, Teng-Fei Ding, Zhi-Wei Liu, Xiao-Gang Dong, Chang-Duo Liang

IEEE Trans. Circuits Syst. II Express Briefs, December, 2023

Quantized-data resource allocation for reinforcement learning cooperative control of networked Euler-Lagrange agents with input saturation.

Teng-Fei Ding, Li-Ping Song, Ming-Feng Ge

J. Frankl. Inst., November, 2023

Fully distributed practical bipartite formation tracking of networked Lagrangian systems with actuator faults and bounded inputs.

Teng-Fei Ding, Kang Zhou, Ming-Feng Ge, Xiang Lu, Guang Ling

Int. J. Control, November, 2023

Multiquadrotor Formation Tracking With Mixed Constraints: A Hierarchical Rolling Optimization Approach.

Si-Sheng Liu, Teng-Fei Ding, Ming-Feng Ge, Xiao-Gang Dong, Zhi-Wei Liu

IEEE Trans. Aerosp. Electron. Syst., October, 2023

Prescribed-time formation tracking of second-order multi-agent networks with directed graphs.

Teng-Fei Ding, Ming-Feng Ge, Caihua Xiong, Zhi-Wei Liu, Guang Ling

Autom., June, 2023

Fast Fixed-Time Output Multi-Formation Tracking of Networked Autonomous Surface Vehicles: A Mathematical Induction Method.

Teng-Fei Ding, Kun-Ting Xu, Ming-Feng Ge, Ju H. Park, Chang-Duo Liang

IEEE Trans. Veh. Technol., May, 2023

2022

Lag-Bipartite Formation Tracking of Networked Robotic Systems Over Directed Matrix-Weighted Signed Graphs.

Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Yan-Wu Wang, Hamid Reza Karimi

IEEE Trans. Cybern., 2022

Bipartite consensus tracking problem of networked Lagrangian system with intermittent interactions.

Qiu-Yue Zhang, Ming-Feng Ge, Chang-Duo Liang, Teng-Fei Ding, Ju H. Park

J. Frankl. Inst., 2022

Finite-time multi-target tracking of networked Euler-Lagrange systems via hierarchical active disturbance rejection control.

Jiu-Wang Dong, Chang-Duo Liang, Ming-Feng Ge, Teng-Fei Ding, Xiao-Wen Zhao, Zhi-Wei Liu

Int. J. Control, 2022

2021

Adaptive finite-time quantized synchronization of complex dynamical networks with quantized time-varying delayed couplings.

Juanjuan He, Hui Chen, Ming-Feng Ge, Teng-Fei Ding, Leimin Wang, Chang-Duo Liang

Neurocomputing, 2021

Practical Bipartite Tracking for Networked Robotic Systems via Fixed-Time Estimator-Based Control.

Peng Su, Jinqiang Gan, Teng-Fei Ding, Chang-Duo Liang, Ming-Feng Ge

Complex., 2021

2020

Discrete-Communication-Based Bipartite Tracking of Networked Robotic Systems via Hierarchical Hybrid Control.

Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Yan-Wu Wang, Hamid Reza Karimi

IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020

Bipartite consensus for networked robotic systems with quantized-data interactions.

Teng-Fei Ding, Ming-Feng Ge, Cai-Hua Xiong, Ju H. Park

Inf. Sci., 2020

Adaptive finite-time cluster synchronization of neutral-type coupled neural networks with mixed delays.

Juanjuan He, Ya-Qi Lin, Ming-Feng Ge, Chang-Duo Liang, Teng-Fei Ding, Leimin Wang

Neurocomputing, 2020