The Application of Spiking Neural P Systems for PLC Programming. - Ke Chen 008; Jun Wang 013; Zhang Sun; Juan Luo; Tao Liu (BIC-TA, 2014)

An Improved Particle Swarm Optimization and Its Application for Micro-grid Economic Operation Optimization. - Tao Liu; Jun Wang 013; Zhang Sun; Juan Luo; Tingting He; Ke Chen 008 (BIC-TA, 2014)

Study on a Novel High-Efficiency Bridgeless PFC Converter. - Taiqiang Cao; Zhangyong Chen; Jun Wang 013; Zhang Sun; Qian Luo; Fei Zhang (J. Appl. Math., 2014)

The Implementation of Membrane Clustering Algorithm Based on FPGA. - Yunying Yang; Jun Ming; Jun Wang 013; Hong Peng 001; Zhang Sun; Wenping Yu (BIC-TA (1), 2016)

Spiking neural P systems with multiple channels. - Hong Peng 001; Jinyu Yang; Jun Wang 013; Tao Wang 029; Zhang Sun; Xiaoxiao Song; Xiaohui Luo; Xiangnian Huang (Neural Networks, 2017)

On Small Universality of Spiking Neural P Systems with Multiple Channels. - Xiaoxiao Song; Hong Peng 001; Jun Wang 013; Guimin Ning; Tao Wang 029; Zhang Sun; Yankun Xia (Int. Conf. on Membrane Computing, 2018)

Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids. - Tao Wang 029; Jun Wang 013; Jun Ming; Zhang Sun; Chuanxiang Wei; Chun Lu; Mario J. Pérez-Jiménez (IEEE Access, 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 013; Zhang Sun; Bi-de Zhang (IEEE Access, 2018)

Spiking neural P systems with multiple channels and anti-spikes. - Xiaoxiao Song; Jun Wang 013; Hong Peng 001; Guimin Ning; Zhang Sun; Tao Wang 029; Fan Yang (Biosyst., 2018)

Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN. - Lei Chen 054; Jun Wang 013; Zhang Sun; Tao Huang 002; Fan Wu (IEEE Access, 2019)

A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply. - Zhang Sun; Fan Wu; Weidong Jin; Jun Wang 013; Yunpu Wu; Xunbing Wu; Zhongjun Wei (IEEE Access, 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)

Small universal asynchronous spiking neural P systems with multiple channels. - Xiaoxiao Song; Hong Peng 001; Jun Wang 013; Guimin Ning; Zhang Sun (Neurocomputing, 2020)

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)

Detecting Unexpected Faults of High-Speed Train Bogie Based on Bayesian Deep Learning. - Yunpu Wu; Weidong Jin; Yan Li 093; Zhang Sun; Junxiao Ren (IEEE Trans. Veh. Technol., 2021)

Spiking neural P systems without duplication. - Zhang Sun; Luis Valencia-Cabrera; Guimin Ning; Xiaoxiao Song (Inf. Sci., 2022)

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)

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, 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., 2023)

On the Universality of Spiking Neural P Systems With Multiple Channels and Autapses. - Xin Ning 003; Guanyi Yang; Zhang Sun; Xiaoxiao Song (IEEE Access, 2024)