高庆
Prof. Qing Gao received his Ph.D. degree in Mechatronics Engineering from the City University of Hong Kong, Kowloon, Hong Kong in 2014. From 2014 to 2016, he was with the School of Engineering and Information Technology, University of New South Wales, Canberra at the Australian Defence Force Academy, as a postdoctoral research associate. Since 2018, he has joined the School of Automation Scienc...details>
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
School/Department:The School of Automation Science and Electrical Engineering
Status:Professor
Email:
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Research Focus
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Social Affiliations
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Education Experience
2009/9-2014/2City University of Hong Kong | Control Science and Engineering | Doctoral degree | With Certificate of Graduation for Doctorate Study
2008/9-2013/11University of Science and Technology of China | Control Science and Engineering | Doctoral degree | With Certificate of Graduation for Doctorate Study
2004/9-2008/7University of Science and Technology of China | Automation | Bachelor's degree | University graduated
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Work Experience
2018/12-Now自动化科学与电气工程学院 | 北京航空航天大学 | 教授 | 在职
2017/7-2017/12智能机械研究所 | 中国科学院合肥物质科学研究院 | “百人计划”研究员 | 中国科学院“百人计划”青年俊才项目
2016/12-2017/6应用数学系 | 香港理工大学 | 博士后 | 已离职
2016/6-2016/12机械及生物医学工程学系 | 香港城市大学 | 博士后 | 已离职
2014/12-2015/1化学系 | 美国普林斯顿大学 | 访问博士后 | 已离职
- 1.[J20] Q. Gao, X. –J. Zeng, G. Feng, Y. Wang, and J. Qiu, “T–S-Fuzzy-Model-Based approximation and controller design for general nonlinear systems,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 42, no. 4, pp. 1131-1142, 2012..2019
- 2.[J19] Q. Gao, G. Feng, Y. Wang, and J. Qiu, “Universal fuzzy controllers based on generalized T-S fuzzy models,” Fuzzy Sets and Systems, vol. 201, no. 6, pp. 55-70, 2012..2019
- 3.[J18] C. Song, G. Feng, L. Liu, Y. Wang, and Q. Gao, “Persistent awareness coverage control for mobile sensor networks,” Automatica, vol. 49, no. 6, pp. 1867-1873, 2013..2019
- 4.[J17] Q. Gao, G. Feng, Y. Wang, and J. Qiu, “Universal fuzzy models and universal fuzzy controllers for stochastic non-affine nonlinear systems,” IEEE Transactions on Fuzzy Systems, vol. 21, no. 2, pp. 328-341, 2013..2019
- 5.[J16] Y. Pan, Q. Gao, and H. Yu, “Fast and low-frequency adaptation in neural network control,” IET Control Theory & Applications, vol. 8, no. 17, pp. 2062-2069, 2014..2019
- 6.[J15] Q. Gao, G. Feng, L. Liu, Y. Wang, and J. Qiu, “Robust H infinity control for stochastic T-S fuzzy systems via integral sliding-mode approach,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 4, pp. 870-881, 2014..2019
Research Group
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