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Jian Zhang - IEEE Xplore Author Profile
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Jian Zhang

Publications
5
Citations
61
Publications by Year
20212025
Co-Authors:
Show All Co-Authors (12)
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Jian Zhang

Affiliation

Key Laboratory of Autonomous Systems and Networked Control
Ministry of Education
College of Automation Science and Engineering, South China University of Technology, Guangzhou, China

Publication Topics

Biography

Jian Zhang received the B.S. degree in mechanical design and manufacturing and automation from the West Anhui University, Luan, China, in 2020, and the M.S. degree in mechatronics engineering from Guangzhou University, Guangzhou, China, in 2023. He is currently
working toward the Ph.D. degree in control science and engineering with the South China University of Technology, Guangzhou. His research interests include demonstration learning and robotics.
Publications
5
Citations
61
Publications by Year
20212025
Co-Authors:
Show All Co-Authors (12)
Author's Published Works

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A Novel Robotic Skill Learning Approach for Assembly Task With Dynamical System and Broad Learning

Jian Zhang;Zhehao Jin;Zhijia Zhao;Chenguang Yang

IEEE Transactions on Industrial Electronics
Year: 2025 | Early Access Article |
This study introduces a strategy for robotic peg-hole assembly designed to efficiently transfer skills from a human instructor to a robot, achieved through a series of demonstrations and training sessions. Moving the peg fixed to the robotic arm’s end from the distal position to the top of the hole, which is represented as an autonomous dynamical system. During the modeling and generalization phas...Show More

A Novel Robotic Skill Learning Approach for Assembly Task With Dynamical System and Broad Learning

Jian Zhang;Zhehao Jin;Zhijia Zhao;Chenguang Yang

Year: 2025 | Early Access Article |

Wavelet Movement Primitives: A Unified Framework for Learning Discrete and Rhythmic Movements

Yi Zhang;Chao Zeng;Jian Zhang;Chenguang Yang

IEEE Robotics and Automation Letters
Year: 2025 | Volume: 10, Issue: 4 | Journal Article |
Real-world tasks often require combinations of both discrete and rhythmic movements. However, most of current methods can only address one of them. This letter proposes a unified framework, Wavelet Movement Primitives (WMPs), which are built on Probabilistic Movement Primitives (ProMPs) integrated with Discrete Wavelet Transform (DWT), to model and learn both discrete and rhythmic trajectories fro...Show More

Wavelet Movement Primitives: A Unified Framework for Learning Discrete and Rhythmic Movements

Yi Zhang;Chao Zeng;Jian Zhang;Chenguang Yang

Year: 2025 | Volume: 10, Issue: 4 | Journal Article |

Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism

Zhijia Zhao;Jian Zhang;Shouyan Chen;Wei He;Keum-Shik Hong

IEEE/CAA Journal of Automatica Sinica
Year: 2023 | Volume: 10, Issue: 8 | Journal Article |
Cited by: Papers (16)
Helicopter systems present numerous benefits over fixed-wing aircraft in several fields of application. Developing control schemes for improving the tracking accuracy of such systems is crucial. This paper proposes a neural-network (NN)-based adaptive finite-time control for a two-degree-of-freedom helicopter system. In particular, a radial basis function NN is adopted to solve uncertainty in the ...Show More

Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism

Zhijia Zhao;Jian Zhang;Shouyan Chen;Wei He;Keum-Shik Hong

Year: 2023 | Volume: 10, Issue: 8 | Journal Article |

Adaptive Neural Network Control of an Uncertain 2-DOF Helicopter With Unknown Backlash-Like Hysteresis and Output Constraints

Zhijia Zhao;Jian Zhang;Zhijie Liu;Chaoxu Mu;Keum-Shik Hong

IEEE Transactions on Neural Networks and Learning Systems
Year: 2023 | Volume: 34, Issue: 12 | Journal Article |
Cited by: Papers (45)
An adaptive neural network (NN) control is proposed for an unknown two-degree of freedom (2-DOF) helicopter system with unknown backlash-like hysteresis and output constraint in this study. A radial basis function NN is adopted to estimate the unknown dynamics model of the helicopter, adaptive variables are employed to eliminate the effect of unknown backlash-like hysteresis present in the system,...Show More

Adaptive Neural Network Control of an Uncertain 2-DOF Helicopter With Unknown Backlash-Like Hysteresis and Output Constraints

Zhijia Zhao;Jian Zhang;Zhijie Liu;Chaoxu Mu;Keum-Shik Hong

Year: 2023 | Volume: 34, Issue: 12 | Journal Article |

Adaptive Neural Network-Based Fault-Tolerant Control of 2-DOF Helicopter With Output Constraints

Zhijia Zhao;Jian Zhang;Jianing Zhang;Tao Zou

2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
Year: 2021 | Conference Paper |
In this paper, we propose an adaptive neural network-based fault-tolerant control for the two-degree of freedom (DOF) helicopter system with actuator fault and output constraints. First, the radial basis function neural network is used to estimate the uncertainty of the system. Moreover, adaptive auxiliary parameters are used to compensate the actuator failure. And then, the barrier Lyapunov funct...Show More

Adaptive Neural Network-Based Fault-Tolerant Control of 2-DOF Helicopter With Output Constraints

Zhijia Zhao;Jian Zhang;Jianing Zhang;Tao Zou

Year: 2021 | Conference Paper |

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