刘艳军，男，教授，博士生导师，2001年7月毕业于沈阳工业大学应用数学专业，获理学学士学位；2004年4月毕业于沈阳工业大学控制理论与控制工程专业，获工学硕士学位；2007年7月毕业于大连理工大学控制理论与控制工程专业，获理学博士学位；2010年10月至2011年9月在澳门大学科技学院从事科学研究工作。
2015年获得“辽宁特聘教授”称号，2016年获得“国家优秀青年科学基金”资助；2016年获得辽宁省“百千万人才工程”百人层次人选；2017年担任“辽宁省高校创新团队”负责人；现担任国际控制领域重要SCI检索期刊IEEE Transactions on Systems, Man and Cybernetics: Systems和国内控制领域权威EI检索期刊《自动化学报》的编委；曾担任国际学术会议2016 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016)程序委员会主席；现为“中国自动化学会数据驱动控制、学习与优化专业委员会”委员及国际“IEEE Systems, Man, and Cybernetics Society”高级会员。
研究方向为：智能控制理论及其应用。主持国家自然科学基金3项、辽宁省自然科学基金1项、辽宁省高校杰出青年学者成长计划项目1项，辽宁省高等学校优秀人才支持计划项目1项；总计发表学术论文60余篇，其中以第一作者发表SCI 检索论文40多篇；特别是，在国际控制领域顶级期刊Automatica和国际智能控制领域权威期刊IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Fuzzy Systems、IEEE Transactions on Cybernetics以及IEEE Transactions on Systems, Man and Cybernetics: Systems上发表论文20余篇；发表在著名国际期刊IEEE Transactions on Cybernetics上的论文获得2015年中国百篇最具影响国际学术论文；部分理论研究成果，获得2015年获教育部自然科学二等奖。
Email: liuyanjun@live.com
代表性论文：
1. Y. J. Liu, W. Wang, S. C. Tong and Y. S. Liu, Robust adaptive tracking control for nonlinear systems based on bounds of fuzzy approximation parameters, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, Vol. 40, No. 1, pp. 170-184, January, 2010.
2. Y. J. Liu, C. L. P. Chen, G. X. Wen, S. C. Tong, Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems, IEEE Transactions on Neural Networks, Vol. 22. No. 7, pp. 1162–1167, July, 2011.
3. Y. J. Liu, S. C. Tong and C. L. P. Chen, Adaptive fuzzy control via observer design for uncertain nonlinear systems with unmodeled dynamics, IEEE Transactions on Fuzzy Systems, vol. 21, no. 2, pp. 275-288, April, 2013.
4. Y. J. Liu and S. C. Tong, Adaptive fuzzy control for a class of nonlinear discrete-time systems with backlash, IEEE Transactions on Fuzzy Systems, vol. 22, no. 5, pp. 1359-1365, 2014.
5. Y. J. Liu, L. Tang, S. C. Tong, C. L. P. Chen, and D. J. 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, vol. 26, no. 1, pp. 165-176, Jan, 2015.
6. Y. J. Liu and S. C. Tong, Adaptive NN tracking control of uncertain nonlinear discrete-time systems with nonaffine dead-zone input, IEEE Transactions on Cybernetics, vol. 45, no. 3, pp. 497-505, 2015.
7. Y. J. Liu, S. C. Tong, C. L. P. Chen, and D. J. Li, Neural controller design-based adaptive control for nonlinear MIMO systems with unknown hysteresis inputs, IEEE Transactions on Cybernetics, vol. 46, no. 1, pp. 9-19, Jan. 2016.
8. Y. J. Liu and S. C. Tong, Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints, Automatica, vol. 64, pp. 70-75, February, 2016.
9. Y. J. Liu, Y. Gao, S. C. Tong and Y. M. Li, Fuzzy approximation-based adaptive backstepping optimal control for a class of nonlinear discrete-time systems with dead-zone, IEEE Transactions on Fuzzy Systems, vol. 24, no. 1, pp. 16-28, Feb. 2016.
10. Y. J. Liu* and S. C Tong, Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems, Automatica, vol. 76, pp. 143-152, 2017.
