刘艳军，博士，教授，博士生导师，现任辽宁工业大学副校长、辽宁省数学类专业教学指导委员会副主任、中国人工智能学会科普工作委员会副主任、国家杰出青年科学基金获得者、国务院政府特殊津贴专家、辽宁特聘教授、辽宁省高校创新团队负责人、辽宁省优秀专家、中国自动化学会青年科学家奖获得者；现担任国际期刊《IEEE Transactions on Cybernetics》、《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE/CAA Journal of Automatica Sinica》等期刊的编委；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控制理论专业委员会等多个专委会委员，IEEE高级会员。
研究方向为：智能控制和群体智能。主持国家自然科学基金5项。发表学术论文100余篇，部分理论研究成果，获教育部自然科学一、二等奖各一项，获辽宁省教学成果一等奖2项。
Email: liuyanjun@live.com
1. Yan-Jun Liu*, Wei Zhao, Lei Liu, Dapeng Li, Shaocheng Tong, and C. L. Philip Chen, Adaptive neural network control for a class of nonlinear systems with function constraints on states, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3107600, in press.
2. Yan-Jun Liu*, Yanqi Zhang, Lei Liu, Shaocheng Tong and C. L. Philip. Chen, Adaptive finite-time control for half active suspension systems with uncertain dynamics, IEEE/ASME Transactions on Mechatronics, vol. 26, no. 1, pp. 168-178, Feb. 2021.
3. Yan-Jun Liu*, Qiang Zeng, Shaocheng Tong, C. L. Philip Chen, and Lei Liu, Actuator failure compensation-based adaptive control of active suspension systems with prescribed performance, IEEE Transactions on Industrial Electronics, vol. 67, no. 8, pp. 7044-7053, August, 2020.
4. Yan-Jun Liu*, Shu Li, Shaocheng Tong, C. L. 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, Jan. 2019.
5. Yan-Jun Liu*, Mingzhe Gong, Shaocheng Tong, C. L. Philip Chen, and Dong-Juan Li, Adaptive fuzzy output feedback control for a class of nonlinear systems with full state constraints, IEEE Transactions on Fuzzy Systems, vol. 26, no. 5, pp. 2607-2617, Oct. 2018.
6. Yan-Jun Liu*, Shu-Min Lu, Shaocheng Tong, Xinkai Chen, C. L. Philip Chen and Dong-Juan Li, Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints, Automatica, vol. 87, pp. 83-93, Jan. 2018.
7. Yan-Jun Liu* and Shaocheng Tong,Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems, Automatica, vol. 76, pp. 143-152, Feb. 2017.
8. Yan-Jun Liu*, Shumin Lu, Dongjuan Li and Shaocheng Tong, Adaptive controller design-based ABLF for a class of nonlinear time-varying state constraint systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 7, pp. 1546-1553, July, 2017.
9. Yan-Jun Liu*, Ying Gao, Shaocheng Tong and C. L. Philip Chen, A unified approach to adaptive neural control for nonlinear discrete-time systems with nonlinear dead-zone input, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 1, pp. 139-150, Jan. 2016.
10. Yan-Jun Liu* and Shaocheng 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.
