教育背景
2012/11,中国科学技术大学,控制理论与控制工程专业,工学博士
2007/07,山东大学(威海),信息与计算科学专业,理学学士
工作经历
2020/04 至今,中国科学技术大学,自动化系,副教授
2015/02-2019/07,中国科学技术大学,自动化系,副研究员
2013/03-2015/01,中国科学院数学与系统科学研究院,系统控制重点实验室,博士后
研究方向
非线性系统、多自主体系统的控制与优化;无人系统(如无人机航天器)的感知、决策与控制
科研成果
[1] X. Wang, D. Xu, and H. Ji, Robust almost output consensus in networks of nonlinear agents with external disturbances, Automatica, Accepted, 2016.
[2] D. Xu, X. Wang, Y. Hong, Z. P. Jiang, and S. Xu, Output feedback stabilization and estimation of the region of attraction for nonlinear systems: a vector control Lyapunov function perspective, IEEE Transactions on Automatic Control, Accepted, 2016.
[3] X. Wang, Y. Hong, and H. Ji, Distributed optimization for a class of nonlinear multiagent systems with disturbance rejection, IEEE Transactions on Cybernetics, Accepted, 2016.
[4] C. Wang, X. Wang, and H. Ji, Leader-following consensus for a class of second-order nonlinear multi-agent systems, Systems & Control Letters, vol. 89, pp. 61–65, 2016.
[5] D. Xu, X. Wang, and Z. Chen, Output regulation of nonlinear output feedback systems with exponential parameter convergence, Systems & Control Letters, vol. 88, pp. 81–90, 2016.
[6] D. Xu, X. Wang, Y. Hong, and Z. P. Jiang, Global robust distributed output consensus of multi-agent nonlinear systems: An internal model approach, Systems & Control Letters, vol. 87, pp. 64–69, 2016.
[7] Y. Tang, Y. Hong, and X. Wang, Distributed output regulation for a class of nonlinear multi-agent systems with unknown-input leaders, Automatica, vol. 62, pp. 154–160, 2015.
[8] X. Wang, D. Xu, and Y. Hong, Consensus control of nonlinear leader-follower multi-agent systems with actuating disturbances, Systems & Control Letters, vol. 73, pp. 58–66, 2014.
[9] X. Wang, Y. Hong, and H. Ji, Adaptive multi-agent containment control with multiple parametric uncertain leaders, Automatica, vol. 50, no. 9, pp. 2366–2372, 2014.
[10] D. Xu, Y. Hong, and X. Wang, Distributed output regulation of nonlinear multi-agent systems via host internal model, IEEE Transactions on Automatic Control, vol. 59, no. 10, pp. 2784–2789, 2014.
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