Login / Signup
Chentao Xu
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 10
Top Topics
Neural Network
Penalty Functions
Optimization Algorithm
Motion Imagery
Top Venues
Neural Networks
Int. J. Pattern Recognit. Artif. Intell.
J. Frankl. Inst.
Appl. Math. Comput.
</>
Publications
</>
Haitao Wang
,
Qingshan Liu
,
Chentao Xu
Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework.
Neural Networks
175 (2024)
Chentao Xu
,
Qingshan Liu
A resilient distributed optimization algorithm based on consensus of multi-agent system against two attack scenarios.
J. Frankl. Inst.
360 (12) (2023)
Jun Zhu
,
Qingshan Liu
,
Chentao Xu
Graph Convolutional Neural Network with Multi-Scale Attention Mechanism for EEG-Based Motion Imagery Classification.
Int. J. Pattern Recognit. Artif. Intell.
37 (14) (2023)
Chentao Xu
,
Miao Wang
,
Guoyi Chi
,
Qingshan Liu
An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator.
Neural Networks
155 (2022)
Chentao Xu
,
Qingshan Liu
An inertial neural network approach for robust time-of-arrival localization considering clock asynchronization.
Neural Networks
146 (2022)
Chentao Xu
,
Qingshan Liu
A Median-based Resilient Distributed Optimization Algorithm Against Byzantine Attack.
Int. J. Artif. Intell. Tools
31 (6) (2022)
Chentao Xu
,
Zhe You
,
Liwen Zhang
,
Minghong Zhou
The maximum outdegree power of complete k-partite oriented graphs.
Appl. Math. Comput.
433 (2022)
Chentao Xu
,
Qingshan Liu
,
Tingwen Huang
Resilient Penalty Function Method for Distributed Constrained Optimization under Byzantine Attack.
Inf. Sci.
596 (2022)
Chentao Xu
,
Xing He
A Fully Distributed Approach to Optimal Energy Scheduling of Users and Generators Considering a Novel Combined Neurodynamic Algorithm in Smart Grid.
IEEE CAA J. Autom. Sinica
8 (7) (2021)
Chentao Xu
,
Xing He
,
Tingwen Huang
,
Junjian Huang
A combined neurodynamic approach to optimize the real-time price-based demand response management problem using mixed zero-one programming.
Neural Comput. Appl.
32 (13) (2020)