唐丽，博士，副教授，硕士研究生导师，2018年7月毕业于东北大学控制理论与控制工程专业，获工学博士学位。获2019年教育部自然科学奖一等奖。主持国家自然科学基金青年基金项目1项；主持辽宁省科技厅项目2项；作为主要成员参与国家自然科学基金项目3项，作为一般成员参与国家自然科学基金项目若干项。2019年入选辽宁省“百千万人才工程”万人层次。研究方向：智能自适应控制、切换系统控制、非线性偏微分系统控制。在IEEE Trans.系列汇刊等国际重要期刊以及国内外学术会议上发表论文20余篇。现为中国自动化学会会员，IEEE电气和电子工程师协会会员 (IEEE Member)，IEEE计算智能协会会员(IEEE Computational Intelligence Society Member)，IEEE工业电子学会会员(IEEE Industrial Electronics Society Member)。
Email: taling413@hotmail.com
代表性论文：
1. Li Tang, Yan-Jun. Liu* and C. L. Philip Chen, “Adaptive critic design for pure-feedback discrete-time MIMO systems preceded by unknown backlashlike hysteresis”, IEEE Transactions on Neural Networks and Learning Systems, 29(11), 5681-5690, Nov. 2018.
2. Li Tang and Jun Zhao*, “Switched threshold based fault detection for switched nonlinear systems with its application to Chua's circuit system”, IEEE Transactions on Circuits and Systems I: Regular Papers, 66(2), 733-741, Feb. 2019.
3. Li Tang, Dan Ma, Jun Zhao*, "Neural networks based active fault tolerant control for a class of switched nonlinear systems with its application to RCL Circuit ", IEEE Transactions on Systems, Man and Cybernetics: Systems, DOI: 10.1109/TSMC.2018.2847283.
4. Yan-Jun Liu*, Li Tang, Shaocheng Tong, C. L. Philip Chen, and Dongjuan Li. “Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems”, IEEE Transactions on Neural Networks and Learning Systems, 26(1), 165-176, Jan. 2015.
5. Yan-Jun Liu*, Li Tang, Shaocheng Tong, and C. L. Philip Chen. “Adaptive NN controller design for a class of nonlinear MIMO discrete-time systems”, IEEE Transactions on Neural Networks and Learning Systems, 26(5), 1007-1018, May. 2015.
6. Li Tang, Dan Ma and Jun Zhao*, "Adaptive neural control for switched non-linear systems with multiple tracking error constraints", IET Signal Processing, 13(3), 330-337, May 2019.
7. Li Tang, Aiqing Chen and Dongjuan Li*, "Time-varying tan-type barrier Lyapunov function-based adaptive fuzzy control for switched systems with unknown dead zone", IEEE Access, 7(1), 110928-110935, Dec. 2019.
8. Li Tang and Dongjuan Li*, "Time-varying barrier Lyapunov function based adaptive neural controller design for nonlinear pure-feedback systems with unknown hysteresis ", International Journal of Control, Automation, and Systems, 17(7), 1642-1654, July 2019.
9. Li Tang, and Jun Zhao*, “Adaptive tracking control for discrete-time switched nonlinear systems with dead-zone inputs”, Fuzzy Sets and Systems, 344, 51-69. August, 2018.
10. Li Tang, and Jun Zhao*, “Neural network based adaptive prescribed performance control for a class of switched nonlinear systems”, Neurocomputing, 230, 316-321, March, 2017.
