辽宁工业大学理学院研究生导师介绍：刘艳军

姓名：刘艳军

性别：男

技术职称：教授

联系电话：0416-4198736

电子邮件：liuyanjun@live.com

所在学科专业名称：应用数学

主要研究方向

1. 智能设计算法

2. 自适应与人工智能

3. 智能方法应用于机器人系统

个人简历

刘艳军：男，博士，教授，硕士生导师。辽宁省“百千万人才工程”千人层次；国家自然科学基金通信评审专家；辽宁省“高校杰出青年学者成长计划”首批获得者；辽宁省高等学校优秀人才支持计划项目第一层次获得者；担任《自动化学报》、《IEEE/CAA Journal of Automatica Sinica》以及《Mathematical Problems in Engineering》的副编辑。

学术成果

在国际重要期刊如《IEEE Transactions on Fuzzy Systems》、《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans》、《IEEE Transactions on Cybernetics》、《International Journal of Control》、《Fuzzy Sets and Systems》、《Information Sciences》、《International Journal of Robust and Nonlinear Control》等发表和录用论文60余篇，其中SCI检索源30篇，EI检索20篇，主要的代表性成果如下：

    1.         Y. J. Liu*, W. Wang, Adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems, Information Sciences. Vol. 177, No. 18, pp. 3901–3917, 2007. (SCI, EI检索).

    2.         Y. J. Liu*, S. C. Tong, W. Wang, Adaptive fuzzy output tracking control for a class of uncertain nonlinear systems, Fuzzy Sets and Systems, Vol. 160, No. 19, pp. 2727-2754, October, 2009. (SCI, EI检索).

    3.         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. (SCI, EI检索).

    4.         Y. J. Liu*, S. C. Tong, Y. M. Li, Adaptive neural network tracking control for a class of non-linear systems, International Journal of Systems Science, Vol. 40, No. 2, pp. 143 – 158, February, 2010. (SCI, EI检索).

    5.         Y. J. Liu*, S. C. Tong, T. S. Li, Observer-based adaptive fuzzy tracking control for a class of uncertain nonlinear MIMO systems, Fuzzy Sets and Systems, Vol. 164, No. 1, pp. 25-44, January, 2011. (SCI, EI检索).

    6.         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. (SCI, EI检索).

    7.         Y. J. Liu*, S. C. Tong, D. Wang, T. S. Li and C. L. P. Chen, Adaptive neural output feedback controller design with reduced-order observer for a class of uncertain nonlinear SISO systems, IEEE Transactions on Neural Networks, Vol. 22. No. 8, pp. 1328–1334, August, 2011. (SCI, EI检索).

    8.         Y. J. Liu*, S. C. Tong and T. S. Li, Adaptive fuzzy controller design with observer for a class of uncertain nonlinear MIMO systems, Asian Journal of Control, Vol. 13, No. 6, pp. 868-877, November, 2011. (SCI, EI检索).

    9.         Y. J. Liu*, W. Wang, Adaptive output feedback control of uncertain nonlinear systems based on dynamic surface control technique, International Journal of Robust and Nonlinear Control, Vol. 22, No. 9, pp. 945-958, June, 2012. (SCI, EI检索).

 10.         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. (SCI, EI检索).

 11.         Y. J. Liu* and D. J. Li, S. C. Tong, Adaptive output feedback control for a class of nonlinear systems with full-state constraints, International Journal of Control, vol. 87, no. 2, pp. 281-290, February, 2014. (SCI检索).

 12.         Y. J. Liu*, L. Liu, S. C. Tong, Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone,Science China Information Sciences (中国科学F辑：信息科学，英文版), vol. 57, no. 3, pp. 032206:1–032206:12, March, 2014. (SCI检索).

 13.         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. (SCI检索).

 14.         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. (SCI检索).

 15.         Y. J. Liu* and S. C. Tong, Adaptive neural network 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.

 16.         Y. J. Liu* and S. C. Tong, Adaptive fuzzy control for a class of unknown nonlinear dynamical systems, Fuzzy Sets and Systems, Vol. 263, pp. 49–70, March, 2015.

 17.         Y. J. Liu*, L. Tang, S. C. Tong and C. L. P. Chen, Adaptive NN controller design for a class of nonlinear MIMO discrete-time systems, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2014.2330336, in press.

 18.         Y. J. Liu* and S. C. Tong, Adaptive fuzzy identification and control for a class of nonlinear pure-feedback MIMO systems with unknown dead-zones,IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2014.2360954, 2014.

 19.         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, DOI: 10.1109/TCYB.2015.2388582, 2015.

 20.         Y. J. Liu*, Y. Gao, and S. C. Tong, Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems with Dead-Zone, IEEE Transactions on Fuzzy Systems, accepted, 2015.

获奖情况

 

2012年获国际期刊《International Journal of Control, Automation, and Systems》的“Contribution Award”。

2009年至2014年获国际期刊《Fuzzy Sets and Systems》的“Most Cited Articles”。

在研项目

1. 主持国家自然科学基金“不确定非线性三角结构系统的自适应优化控制”，编号：61473139，来源：国家自然科学基金委，起止年月：2015年1月-2018年12月，经费：80万元。

2. 主持辽宁省高等学校优秀人才支持计划项目一层次，编号：LR2014016, 来源：辽宁省教育厅，起止年月：2014年7月-2016年7月经费：10万元。