教育經歷
2009.09-2014.07 北京大學工學院,碩博連讀,獲得工學博士學位
2005.09-2009.07 東北大學理學院,獲得理學學士學位
工作經歷
2014年9月——至今 西北工業大學自動化學院
科學研究
多運動體智慧型控制、飛行控制
學術成果
Journal Paper :(SCI)
[1] Yongfang Liu, Yu Zhao and Guanrong Chen. Finite-time formation tracking control for multiple vehicles: A motion planning approach, International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.3496, 2015. [2] Yongfang Liu and Zhiyong Geng. Finite-time formation control for linear multi-agent systems: A motion planning approach, Systems & Control Letters, 85(11):54-60, 2015.
[3] Yongfang Liu, Zhiyong Geng, Finite-time optimal tracking control for dynamic systems on Lie groups, Asian Journal of Control, 17(3): 994-1005, 2015.
[4] Yongfang Liu, Zhiyong Geng, Finite-time optimal formation tracking control of vehicles in horizontal plane, Nonlinear Dynamics, 76(1): 481-495, 2014.
[5] Yongfang Liu, Zhiyong Geng, Finite-time optimal formation control for second-order multi-agent systems, Asian Journal of Control, 16(1): 138-148, 2014.
[6] Yongfang Liu, Zhiyong Geng, Finite-time optimal Formation control of multi-agent systems on SE(3), International Journal of Control, 86(10): 1675-1686, 2013.
[7] Yu Zhao, Yongfang Liu, Zhisheng Duan and Guanghui Wen. Distributed average computation for multiple time-varying signals with output measurements, International Journal of Robust and Nonlinear Control, 26 NOV 2015, DOI:?10.1002/rnc.3486.
Conference Paper:
[1] Yongfang Liu, Zhiyong Geng, Finite-time optimal formation control for linear multi-agent systems, 33st Chinese Control Conference, Nanjing, China, 2014: 8941-8946.
[2] Yongfang Liu, Zhiyong Geng, Finite-time formation tracking control for vehicles Based on motion planning approach, The 11th IEEE International Conference on Control and Automation, Taichung, 2014: 326-331.
[3] Yongfang Liu, Zhiyong Geng, Finite-time optimal formation control on Lie groups, 31st Chinese Control Conference, Hefei, China, 2012: 715-720.
[4] Junyong Sun, Zhiyong Geng, Yongfang Liu, Distributed optimal tracking control for second-order multi-agent systems, 33st Chinese Control Conference, Nanjing, China, 2014: 1225-1230.