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黄承代

时间:2020-03-16 10:39:50 来源: 作者: 阅读:
职位职称 邮箱地址

 

  




职务职称博士,副教授,硕士生导师

研究方向:复杂系统与复杂网络
电子邮箱
chdhuang1986@xynu.edu.cn  


个人简介 

黄承代,博士, 副教授, 硕士生导师, 中国自动化学会会员、中国工业与应用数学学会会员。2016年获东南大学理学博士学位。研究兴趣主要包括复杂系统与复杂网络、神经网络动力学与优化、分数阶系统理论及应用等方面。曾获广西自然科学二等奖、中国电子学会自然科学三等奖、Wiley威立中国高贡献作者奖、河南省教育厅科技成果奖一等奖2025年获必威betway首页优秀教师。指导硕士生获校研究生创新基金重点项目1项、研究生国家奖学金3项、河南省优秀研究生创新之星1项、考上电子科技大学博士研究生1人。相关研究成果发表在中国科学-技术科学英文版、IEEE TCIEEE TNNLSIEEE TCSIIEEE TNSEIEEE TETCINNPhysica D等主流SCI期刊上共130+篇。其中二区以上SCI论文40+篇,1篇论文入选0.1%ESI热点论文(一作)6篇论文入选1%ESI高被引论文(一作/通讯)SCI他引次数2000+Google Scholar他引次数2600+H指数28入选美国斯坦福大学(Stanford University)和国际权威学术出版社爱思唯尔(Elsevier)联合发布的全球前2%顶尖科学家榜单(20252024, 2023, 2022, 2020)

欢迎数学、自动化、计算机等相关专业,对科研充满兴趣和热情、勤奋踏实的学生联系报考,谢绝混文凭、躺平的学生联系。电子邮箱:chdhuang1986@xynu.edu.cn 


代表性论文 

[1] C. Huang, H. Liu, H. Wang, M. Xiao, J. Cao, Dynamical Bifurcations of a Fractional-Order BAM Neural Network: Nonidentical Neutral Delays, IEEE Transactions on Network Science and Engineering, 2024, 11(2): 1668-1679.(SCI)

[2] C. Huang, H. Liu, T. Huang, J. Cao, Bifurcations Due to Different Neutral Delays in a Fractional-Order Neutral-Type Neural Network, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(1): 563-575.(SCI)

[3] M. Zhong, C. Huang, J. Cao, H. Liu, Adaptive Neural Optimal Backstepping Control of Uncertain Fractional-Order Chaotic Circuit Systems via Reinforcement Learning, IEEE Transactions on Circuits and Systems I: Regular Papers, 2024, 71(10): 4707-4720.(SCI)

[4] J. Chen, M. Xiao, Y. Wan, C. Huang, F. Xu, Dynamical Bifurcation for a Class of Large-Scale Fractional Delayed Neural Networks With Complex Ring-Hub Structure and Hybrid Coupling, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(5): 2659-2669.(SCI)

[5] Y. Lu, M. Xiao, L. Rutkowski, Z. Wang, X. Wu, Z. Wang, C. Huang, J. Cao, W. Zheng, How to Predict Bifurcations Induced by Fractional Order in Delayed Large-Scale Neural Networks, IEEE Transactions on Cybernetics, 2025, 55(9): 4400-4413.(SCI)

[6] C. Huang, L. Fu, H. Wang, J. Cao, H. Liu, Extractions of bifurcation in fractional-order recurrent neural networks under neurons arbitrariness, Physica D, 2024, 468: 134279.(SCI)

[7] C. Huang, S. Mo, H. Liu, J. Cao, Bifurcation analysis of a fractional-order Cohen-Grossberg neural network with three delays, Chinese Journal of Physics, 2024, 88: 360-379.(SCI)

[8] C. Huang, H. Wang, H. Liu, J. Cao, Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations, Neural Networks, 2023, 168: 123-142.(SCI)

[9] C. Huang, H. Wang, J. Cao, Fractional order-induced bifurcations in a delayed neural network with three neurons, Chaos, 2023, 33(3): 033146.(SCI)

[10] C. Huang, S. Mo, Z. Wu, Novel results on bifurcations for a fractional-order neural network with neutral delays, Fractals, 2022, 30(6): 2250118.(SCI)

[11] C. Huang, J. Wang, X. Chen, J. Cao, Bifurcations in a fractional-order BAM neural network with four different delays, Neural Networks, 2021, 141: 344-354.(SCI)

[12] C. Huang, H. Liu, Y. Chen, X. Chen, F. Song, Dynamics of a fractional-order BAM neural network with leakage delay and communication delay, Fractals, 2021, 29(3): 2150073.(SCI)

[13] C. Huang, H. Liu, X. Shi, X. Chen, M. Xiao, Z. Wang, J. Cao, Bifurcations in a fractional-order neural network with multiple leakage delays, Neural Networks, 2020, 131: 115-126.(SCI)

[14] C. Huang, X. Nie, X. Zhao, Q. Song, Z. Tu, M. Xiao, J. Cao, Novel bifurcation results for a delayed fractional-order quaternion-valued neural network, Neural Networks, 2019, 117: 67-93.(SCI)

[15] C. Huang, J. Cao, Comparative study on bifurcation control methods in a fractional-order delayed predator-prey system, Science China Technological Sciences, 2019, 62(2): 298-307.(SCI)


研究生培养

已毕业3人

2021级,莫善松(华中师范大学附属息县高级中学,校研究生科研创新基金项目,国家奖学金(2023),发表2篇SCI二区论文,河南省优秀毕业生)

2022级,刘爽(信阳市第二高级中学,教育硕士教学技能二等奖,发表1篇SCI三区论文)

2022级,汪华南(电子科技大学博士研究生,校研究生科研创新基金重点项目,校学术明星,国家奖学金(2023,2024),河南省优秀研究生创新之星,发表SCI一区和二区论文各2篇,河南省优秀毕业生)


在读2人

2023级付蕾(教育硕士教学技能一等奖,发表1篇SCI三区论文)

2025级, 陈会萌


主讲课程

高等数学,线性代数,常微分方程,分数阶微分方程,分数阶神经网络定性理论


 



 

 

 

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