Zhang Sun

According to our database, Zhang Sun authored at least 22 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

An Adaptive Weight Model Predictive Control Strategy for Vienna Rectifiers Under Unbalanced Loads.

Zhang Sun, Weidong Jin, Fan Wu, Qi Han, Yunpu Wu

Int. J. Circuit Theory Appl., 2025

Spiking neural P systems with structural plasticity and weights.

Guimin Ning, Shihan Huang, Yang Deng, Zhang Sun, Xiaoxiao Song

Biosyst., 2025

2024

On the Universality of Spiking Neural P Systems With Multiple Channels and Autapses.

Xin Ning, Guanyi Yang, Zhang Sun, Xiaoxiao Song

IEEE Access, 2024

2023

A novel low-complexity model predictive control for Vienna rectifier.

Zhang Sun, Weidong Jin, Fan Wu, Qi Han, Kun Guan, Junxiao Ren

Int. J. Circuit Theory Appl., November, 2023

Research on Performance Degradation Estimation of Key Components of High-Speed Train Bogie Based on Multi-Task Learning.

Junxiao Ren, Weidong Jin, Yunpu Wu, Zhang Sun, Liang Li

Entropy, April, 2023

A grouping-attention convolutional neural network for performance degradation estimation of high-speed train lateral damper.

Junxiao Ren, Weidong Jin, Yunpu Wu, Zhang Sun

Appl. Intell., 2023

2022

Spiking neural P systems without duplication.

Zhang Sun, Luis Valencia-Cabrera, Guimin Ning, Xiaoxiao Song

Inf. Sci., 2022

2021

Detecting Unexpected Faults of High-Speed Train Bogie Based on Bayesian Deep Learning.

Yunpu Wu, Weidong Jin, Yan Li, Zhang Sun, Junxiao Ren

IEEE Trans. Veh. Technol., 2021

Fault location of distribution network with distributed generations using electrical synaptic transmission-based spiking neural P systems.

Zhang Sun, Qing Wang, Zhongjun Wei

Int. J. Parallel Emergent Distributed Syst., 2021

2020

Small universal asynchronous spiking neural P systems with multiple channels.

Xiaoxiao Song, Hong Peng, Jun Wang, Guimin Ning, Zhang Sun

Neurocomputing, 2020

2019

A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure.

Yunpu Wu, Weidong Jin, Junxiao Ren, Zhang Sun

Appl. Intell., 2019

A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply.

Zhang Sun, Fan Wu, Weidong Jin, Jun Wang, Yunpu Wu, Xunbing Wu, Zhongjun Wei

IEEE Access, 2019

Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN.

Lei Chen, Jun Wang, Zhang Sun, Tao Huang, Fan Wu

IEEE Access, 2019

2018

Spiking neural P systems with multiple channels and anti-spikes.

Xiaoxiao Song, Jun Wang, Hong Peng, Guimin Ning, Zhang Sun, Tao Wang, Fan Yang

Biosyst., 2018

Ventilation Cooling Design for a Novel 350-MW Air-Cooled Turbo Generator.

Guang-Hou Zhou, Li Han, Zhen-Nan Fan, Hai-Bo Zhang, Xiu-Cheng Dong, Jun Wang, Zhang Sun, Bi-de Zhang

IEEE Access, 2018

Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids.

Tao Wang, Jun Wang, Jun Ming, Zhang Sun, Chuanxiang Wei, Chun Lu, Mario J. Pérez-Jiménez

IEEE Access, 2018

On Small Universality of Spiking Neural P Systems with Multiple Channels.

Xiaoxiao Song, Hong Peng, Jun Wang, Guimin Ning, Tao Wang, Zhang Sun, Yankun Xia

Proceedings of the Membrane Computing, 2018

2017

Spiking neural P systems with multiple channels.

Hong Peng, Jinyu Yang, Jun Wang, Tao Wang, Zhang Sun, Xiaoxiao Song, Xiaohui Luo, Xiangnian Huang

Neural Networks, 2017

2016

The Implementation of Membrane Clustering Algorithm Based on FPGA.

Yunying Yang, Jun Ming, Jun Wang, Hong Peng, Zhang Sun, Wenping Yu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2014

Study on a Novel High-Efficiency Bridgeless PFC Converter.

Taiqiang Cao, Zhangyong Chen, Jun Wang, Zhang Sun, Qian Luo, Fei Zhang

J. Appl. Math., 2014

An Improved Particle Swarm Optimization and Its Application for Micro-grid Economic Operation Optimization.

Tao Liu, Jun Wang, Zhang Sun, Juan Luo, Tingting He, Ke Chen

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

The Application of Spiking Neural P Systems for PLC Programming.

Ke Chen, Jun Wang, Zhang Sun, Juan Luo, Tao Liu

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014