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张强

发布时间:2025-02-25阅读数:
姓名 张强 性别
学历 博士研究生 职称职务 讲师
联系方式 17535118711 电子邮箱 20230209@nuc.edu.cn
所属学科
控制科学与工程
所属专业
自动化
研究方向
先进导航制导控制、自适应模糊控制
学习经历
2017/09-2019/07,东北大学,运筹学与控制论,硕士;
2019/09-2023/11,东北大学,控制科学与工程,博士
工作经历
2023/11-至今,中北大学,电气与控制工程学院,讲师
社会兼职
《战术导弹技术》期刊青年编委;
中国自动化学会会员
代表性论著
[1] Q. Zhang and D.K. He, Disturbance-observer-based adaptive fuzzy control for strict-feedback switched nonlinear systems with input delay. IEEE Transactions on Fuzzy Systems, 2021,29(7): 1942-1952.
[2] Q. Zhang and D.K. He, Adaptive fuzzy sliding exact tracking control based on high-order log-type time-varying BLFs for high-order nonlinear systems. IEEE Transactions on Fuzzy Systems, 2023,31(1): 14-24.  
[3] Q. Zhang and D.K. He, Adaptive neural control of nonlinear cyber-physical systems against randomly occurring false data injection attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023,53(4): 2444-2455.
[4] Q. Zhang and J.X. Dong, Disturbance-observer-based adaptive fuzzy control for nonlinear state constrained systems with input saturation and input delay. Fuzzy Sets and Systems, 2020,392: 77-92.
[5] Q. Zhang, D. Zhai and J.X. Dong, Observer-based adaptive fuzzy decentralized control of uncertain large-scale nonlinear systems with full state constraints. International Journal of Fuzzy Systems, 2019, 21(4): 1085-1103.
[6] Q. Zhang, X.L. Shao, Y.M. Xu, et al. Disturbance-observer-based adaptive neural command filtered control for nonlinear strict-feedback systems with input delay[C]. International Symposium on Intelligent Unmanned Systems and Artiffcial Intelligence, ACM, New York, USA, 2024, 22-27.
[7] Q. Zhang and X.L.Shao, Disturbance-observer-based adaptive fuzzy command filtered control for switched nonlinear systems with prescribed performance and input saturation[J]. International Journal of Fuzzy Systems, 2025, 10.1007/s40815-024-01929-3.
代表性项目
山西省自然科学基金青年基金,面向变后掠翼飞行器的自适应模糊非脆弱预设性能精细抗扰控制研究,2024.7-2027.7.
代表专利
获奖