李树
2024年03月04日 10:02


一、基本情况

李树,博士,内聘副教授,硕士生导师,辽宁省“兴辽英才计划”青年拔尖人才。2021年毕业于哈尔滨工业大学航空宇航科学与技术专业,获工学博士学位。2021年至今在辽宁工业大学电气工程学院工作。

二、学术成果

研究方向:轮式移动机器人智能控制、智能控制理论及应用。主持国家自然科学基金青年基金、辽宁省教育厅面上项目、辽宁省“揭榜挂帅”科技计划(重点)项目、辽宁工业大学博士启动基金项目各1项,作为技术骨干成员参与国家自然科学基金重点项目1项,工信部重点研发计划课题1项,作为主要成员参与国家自然科学基金6项。获邀担任Sensors和IET Cyber-Systems and Robotics特刊Guest Editor,Frontiers in Robotics and AI 期刊Review Editor和中国自动化学会平行控制与管理专业委员会委员

在IEEE Trans.系列汇刊、Science Robotics等国际重要期刊发表论文20余篇,其中3篇入选ESI工程领域前1%高被引论文。授权/受理国家发明专利6项。

邮箱:  li_shu43@lnut.edu.cn;li_shu43@hotmail.com

 

代表性成果:

[1] Shu Li, Liang Ding, Haibo Gao, Yan-Jun Liu, Lan Huang, and Zongquan Deng, Adaptive fuzzy finite-time tracking control for nonstrict full states constrained nonlinear system with coupled dead-zone input, IEEE Transactions on Cybernetics. vol. 52, no. 2, pp. 1138-1149, 2022.  

[2] Shu Li, Liang Ding, Haibo Gao, Yan-Jun Liu, Nan Li, and Zongquan Deng, Reinforcement learning neural network-based adaptive control for state and input time-delayed wheeled mobile robots, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 11, pp. 4171-4182, 2018.

[3] Shu Li, Xin An, Liang Ding, Qingfan Wang, Haibo Gao, Yingxue Hou, and Zongquan Deng, Adaptive neural network-based finite-time tracking control for nonstrict nonaffined MIMO nonlinear systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 8, pp. 4814-4824, 2019.

[4] Shu Li, Liang Ding, Haibo Gao, Chao Chen, Zhen Liu, and Zongquan Deng, Adaptive neural network tracking control-based reinforcement learning for wheeled mobile robots with skidding and slipping, Neurocomputing, vol. 283, pp. 20-30, 2018.

[5] Shu Li, Liang Ding, Haibo Gao, Yan-Jun Liu, Lan Huang, and Zongquan Deng, ADP-based online tracking control of partially uncertain time-delayed nonlinear system and application to wheeled mobile robots, IEEE Transactions on Cybernetics, vol. 50, no. 7, pp. 3182-3194, 2019.

[6] Yan-Jun Liu, Shu Li, Shaocheng Tong, and CL Philip Chen, Adaptive reinforcement learning control based on neural approximation for nonlinear discrete-time systems with unknown nonaffine dead-zone input, IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 1, pp. 295-305, 2019.

[7] 丁亮, 高海波, 李树, 王情帆, 安鑫, 刘艳军, 李楠, 邓宗全, 一种不确定非线性系统的有限时间优化跟踪控制方法. 国家发明专利, 授权. 专利号: ZL 201910328240.7.