于婷婷,女,汉族,黑龙江哈尔滨人,1990年11月出生。2020年毕业于哈尔滨工业大学,获得工学博士学位。2016年10月至2018年11月,加拿大维多利亚大学联合培养博士生。现为beat365官方网站副教授,硕士研究生导师,黑龙江省优秀青年基金获得者。主要从事复杂系统与生物网络的分析与控制研究。主持国家自然科学基金青年科学基金项目,中国博士后科学基金和黑龙江省自然科学基金优秀青年项目各一项。在IEEE Transactions on Neural Networks and Learning Systems, Nonlinear Analysis: Hybrid Systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of the Franklin Institute, Neurocomputing, Applied Mathematics and Computation, International Journal of Biomathematics, Mathematical Problems in Engineering等期刊发表学术论文10余篇。————————————————————————————————————————————
一、教育经历
2007.09—2011.07,best365官网app下载,beat365官方网站,理学学士;
2011.09—2014.06,best365官网app下载,beat365官方网站,理学硕士,导师:张显;
2015.03—2020.06,哈尔滨工业大学,航天学院,博士,导师:曾庆双、吴立刚;
2016.10—2018.11,加拿大维多利亚大学, 机械工程学院, 联合培养博士生,合作导师:施阳;————————————————————————————————————————————
二、工作经历
2020.07—至今,beat365官方网站, 副教授
2021.07—至今,北京理工大学自动化学院,博士后,合作导师:夏元清;————————————————————————————————————————————
三、研究方向
复杂系统的分析;切换系统的分析与控制。————————————————————————————————————————————
四、科研项目
l 切换系统基于数据驱动的吸引域估计与控制,国家自然科学基金青年基金项目,项目编号:62203156,2023/01-2025/12,30万,在研,主持;
l 带模型不确定性切换非线性系统基于数据驱动的镇定控制,黑龙江省自然科学基金优秀青年项目,项目编号:YQ2022F015,2022/07-2025/07,10万,在研,主持;
l 非线性切换系统的无模型控制及应用研究,中国博士后科学基金第72批面上资助,项目编号:2022M720441,2022/10-2024/09,8万,在研,主持;
l 基于事件触发的切换基因调控网络系统的滑模控制方法,2020年度黑龙江省省属高等学校基本科研业务费项目,项目编号:2020-KYYWF-1040,2021/0-2022/12,5万,已结题,主持;
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五、代表性学术论文
[1] Tingting Yu, Yue Zhao*, Jiahui Wang and Jianxing Liu. Event-triggered sliding mode control for switched genetic regulatory networks with persistent dwell time. Nonlinear Analysis: Hybrid Systems, 2022, 44: 101135.
[2] Tingting Yu, Jianxing Liu, Qingshuang Zeng and Ligang Wu*. Dissipativity based filtering for switched genetic regulatory networks with stochastic disturbances and time varying delays. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 18 (3): 1082-1092.
[3] Tingting Yu, Xian Zhang*, and Xin Wang*. Global Exponential Stability Analysis for A Class of Coupled Cyclic Genetic Regulatory Networks with Multiple Time-Varying Delays. IFAC-PapersOnLine, 2021, 54(18) : 23-28.
[4] Tingting Yu, Tongyu Zhao Jianxing Liu* and Qingshuang Zeng. Dynamic output feedback control of discrete-time switched GRNs with time-varying delays. Journal of the Franklin Institute, 2020, 357(2): 1043-1069.
[5] Tingting Yu, Yue Zhao* and Qingshuang Zeng. Stability analysis for discrete-time switched GRNs with persistent dwell-time and time delays. Journal of the Franklin Institute, 2020, 357(16): 11730-11749.
[6] Tingting Yu, Jianxing Liu*, Yi Zeng, Xian Zhang, Qingshuang Zeng and Ligang Wu. Stability analysis of genetic regulatory networks with switching parameters and time delays. IEEE Transactions on Neural Networks and Learning Systems, 2017, 29(7): 3047-3058.
[7] Tingting Yu, Xian Zhang, Guodong Zhang* and Ben Niu. Hopf bifurcation analysis for genetic regulatory networks with two delays. Neurocomputing, 2015, 164: 190-200.
[8] Zhongjie Zhang, Xian Zhang* and Tingting Yu*. Global exponential stability of neutral-type Cohen–Grossberg neural networks with multiple time-varying neutral and discrete delays. Neurocomputing, 2022, 490: 124-131.
[9] Zhongjie Zhang, Tingting Yu* and Xian Zhang*. Algebra criteria for global exponential stability of multiple time-varying delay Cohen-Grossberg neural networks. Applied Mathematics and Computation. 435(2022) : 12746.
[10] Xi Chen, Tingting Yu*, Xian Zhang*. Global exponential p-norm stability of BAM neural networks with unbounded time-varying delays: A method based on the representation of solutions, International Journal of Biomathematics, 2022: 2250105.————————————————————————————————————————————
Email: tingtingyu@hlju.edu.cn