科研工作:
主要科研项目 1、事件触发分布式模型预测控制方法研究,国家自然基金面上项目,主要负责人,2015 - 2018 2、复杂环境下异构自主海洋航行器网络的协同优化控制,国家自然基金青年项目,主要负责人,2016 - 2018 专著[1]. Huiping Li and Yang Shi, Robust Receding-Horizon Control for Networked and Distributed Nonlinear Systems, Springer, ISSN 978-3-319-48290-3,2017. 代表性论文[1]. H.Li*, W. Yan and Y. Shi, Triggering and control co-design in self-triggeredmodel predictive control of constrained systems: with guaranteed performance, IEEE Transactions on Automatic Control,(In press, DOI:10.1109/TAC.2018.2810514 ).[2]. C. Liu, H. Li*, J. Gao and D.Xu, Robust self-triggered min-max model predictive control for discrete-time nonlinearsystems, vol.89, pp. 333-339, Automatica, 2017.[3]. H. Li*, Y. Shi and W.Yan, Receding horizon consensus of general linear multi-agent systems with input constraints: An inverse optimality approach, Automatica, 2017 (In press, DOI:10.1016/j.automatica.2018.01.024). [4]. H.Li*, W. Yan and Y. Shi, Continuous-time model predictive control ofunder-actuated spacecraft with bounded control torques, Automatica, vol. 75, no. 1, pp. 144-153, 2017 (长文).[5]. H.Li*, Y. Shi and W. Yan, Distributed receding horizon control of constrainednonlinear vehicle formations with guaranteed gamma-gain stability, Automatica, vol. 68, no. 1, pp. 148 -154, 2016.[6]. H.Li* and W. Yan, Model predictive stabilization of constrained underactuatedautonomous underwater vehicles with guaranteed feasibility and stability, IEEE/ASME Transactions on Mechatronics,vol. 22, no. 3, pp. 1185-1194, 2017. [7]. H.Li* and W. Yan, Receding horizon control based consensus scheme in generallinear multi-agent systems, Automatica,vol. 56, no. 4, pp. 12-18, 2015.[8]. H. Li and Y. Shi, Event-triggered model predictive control ofconstrained continuous-time nonlinear systems, Automatica, vol. 50, no.5, pp. 1507-1513, 2014.[9]. H. Li and Y. Shi, Robust distributed receding horizon control ofcontinuous-time nonlinear systems: Handling communication delays anddisturbances, Automatica, vol. 50, no. 4, pp. 1264-1271, 2014.[10]. H. Li and Y. Shi, Robust distributed model predictive control ofconstrained continuous-time nonlinear systems: A robustness constraintapproach, IEEE Transactions on Automatic Control, vol. 59, no. 6,pp.1673-1678, 2014.[11]. H. Li and Y. Shi, Distributed model predictive control ofconstrained continuous-time nonlinear systems with communication delays, Systems& Control Letters, vol. 62, no. 10, pp. 819-826, 2013.[12]. H. Li and Y. Shi, Robust output feedback model predictive controlfor constrained linear systems with intermittent measurement, Systems &Control Letters, vol. 62, no. 4, pp. 345-354, 2013. [13]. H. Li and Y. Shi, Robust H_infty filtering for nonlinearstochastic systems with uncertainties and Markov delays, Automatica,vol. 48, no. 1, pp. 159-166, 2012.主要奖励和荣誉:陕西省青年科技新星,2017西北工业大学翱翔新星计划, 2015《IEEE Transactions on Cybernetics》Outstanding Reviewer 称号,2015《IET Control Theory and Applications》Outstanding Reviewer 称号,2014西北工业大学吴亚军优秀青年教师奖,2014中国控制会议(CCC)最佳张贴论文提名奖,2013美国控制会议(ACC)最佳 presentation in session, 2013
教育背景:
2002.6 - 2006.9,西北工业大学,自动化,本科2006.9 -2009.4,西北工业大学,控制理论与控制工程,硕士2009.10-2013.4,加拿大维多利亚大学,机械工程,博士2013.5 - 2013.10,加拿大维多利亚大学,博士后2013.11 - 2016.5,西北工业大学,副教授2016.6 - 至今,西北工业大学,教授