教师名录

性别 民族
出生年月 1992.10 职称 讲师
职务 导师资格 硕导
电话 联系地址 宁远楼305
E-mail bcao@nxu.edu.cn 姓 名 曹博强
教育经历 2019年3月-2022年12月,东南大学数学专业毕业,获得理学博士学位;<br>
2015年9月-2018年6月,ManBetX网页版登录数学专业毕业,获得理学硕士学位;<br>
2011年9月-2015年6月,厦门理工学院数学与应用数学专业毕业,获得理学学士学位
工作经历 2023年3月至今,ManBetX网页版登录,教师
研究方向 动力系统与控制,分数阶非线性系统,神经网络多稳定性 承担项目 主持在研国家自然科学基金青年项目1项。
科研成果 [1] Boqiang Cao, Xiaobing Nie, Wei Xing Zheng, Jinde Cao. Multistability of state-dependent switched fractional-order Hopfield neural networks with Mexican-hat activation function and its application in associative memories. IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3334871.(SCI)<br>
[2] Boqiang Cao, Xiaobing Nie*, Jinde Cao. Event-triggered adaptive neural networks tracking control for incommensurate fractional-order nonlinear systems with external disturbance. Neurocomputing, 2023, 554, Article ID: 126586. (SCI)<br>
[3] Boqiang Cao, Xiaobing Nie*. Event-triggered adaptive neural networks control for fractional-order nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation. Neural Networks, 2021, 142: 288-302. (SCI)<br>
[4] Boqiang Cao, Xiaobing Nie*, Zhongwen Wu, Changfeng Xue, Jinde Cao. Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints. Journal of the Franklin Institute, 2021, 358(14): 7073-7095. (SCI)<br>
[5] Boqiang Cao, Xiaobing Nie*. Observer-based adaptive neural networks control for Markovian jump nonlinear systems with partial mode information and input saturation. International Journal of Robust and Nonlinear Control, 2021, 31(14): 6880-6904. (SCI)<br>
[6] Boqiang Cao, Ting Kang*. Nonlinear adaptive control of COVID-19 with media campaigns and treatment. Biochemical and Biophysical Research Communications, 2021, 555: 202-209. (SCI)<br>
[7] Boqiang Cao, Xiaobing Nie*. Adaptive neural networks control for Markov jump nonlinear systems with nonstrict-feedback form and uncertain transition rate. In 2020 39th Chinese Control Conference, Shenyang, China, 2020: 1963-1968. (EI)<br>
[8] Boqiang Cao, Xiaobing Nie*. Adaptive neural networks control for variable-order fractional nonlinear systems with input saturation. In 2021 3rd International Conference on Electrical Engineering and Control Technologies, Macao SAR, China, 2021: 44-49. (EI)<br>
[9] Boqiang Cao, Meijing Shan, Qimin Zhang, Weiming Wang*. A stochastic SIS epidemic model with vaccination. Physica A, 2017, 486: 127--143. (SCI)
学术任职
其它 职 责

基本信息

  • 姓名:曹博强性别:男
  • 出生年月:1992.10职称/职务:讲师
  • 导师资格:硕导电话:
  • 联系地址:宁远楼305E-mail:bcao@nxu.edu.cn
2019年3月-2022年12月,东南大学数学专业毕业,获得理学博士学位;
2015年9月-2018年6月,ManBetX网页版登录数学专业毕业,获得理学硕士学位;
2011年9月-2015年6月,厦门理工学院数学与应用数学专业毕业,获得理学学士学位
2023年3月至今,ManBetX网页版登录,教师
动力系统与控制,分数阶非线性系统,神经网络多稳定性
主持在研国家自然科学基金青年项目1项。
[1] Boqiang Cao, Xiaobing Nie, Wei Xing Zheng, Jinde Cao. Multistability of state-dependent switched fractional-order Hopfield neural networks with Mexican-hat activation function and its application in associative memories. IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3334871.(SCI)
[2] Boqiang Cao, Xiaobing Nie*, Jinde Cao. Event-triggered adaptive neural networks tracking control for incommensurate fractional-order nonlinear systems with external disturbance. Neurocomputing, 2023, 554, Article ID: 126586. (SCI)
[3] Boqiang Cao, Xiaobing Nie*. Event-triggered adaptive neural networks control for fractional-order nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation. Neural Networks, 2021, 142: 288-302. (SCI)
[4] Boqiang Cao, Xiaobing Nie*, Zhongwen Wu, Changfeng Xue, Jinde Cao. Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints. Journal of the Franklin Institute, 2021, 358(14): 7073-7095. (SCI)
[5] Boqiang Cao, Xiaobing Nie*. Observer-based adaptive neural networks control for Markovian jump nonlinear systems with partial mode information and input saturation. International Journal of Robust and Nonlinear Control, 2021, 31(14): 6880-6904. (SCI)
[6] Boqiang Cao, Ting Kang*. Nonlinear adaptive control of COVID-19 with media campaigns and treatment. Biochemical and Biophysical Research Communications, 2021, 555: 202-209. (SCI)
[7] Boqiang Cao, Xiaobing Nie*. Adaptive neural networks control for Markov jump nonlinear systems with nonstrict-feedback form and uncertain transition rate. In 2020 39th Chinese Control Conference, Shenyang, China, 2020: 1963-1968. (EI)
[8] Boqiang Cao, Xiaobing Nie*. Adaptive neural networks control for variable-order fractional nonlinear systems with input saturation. In 2021 3rd International Conference on Electrical Engineering and Control Technologies, Macao SAR, China, 2021: 44-49. (EI)
[9] Boqiang Cao, Meijing Shan, Qimin Zhang, Weiming Wang*. A stochastic SIS epidemic model with vaccination. Physica A, 2017, 486: 127--143. (SCI)
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