姓名：刘佳
职称：副教授、硕士生导师
研究方向：非线性系统控制、多智能体系统协同控制
个人荣誉：
天津市131人才第三层次人选

近期承担科研项目：
1、 国家自然科学基金项目，项目名称：基于模糊模型的多智能体分布式鲁棒输出调节控制理论及应用研究，项目编号：**。（项目主持人）
2、 天津市自然科学基金青年项目，项目名称：多机器人协调控制理论及应用研究，项目编号：15JCQNJC04200。（项目主持人）
3、 天津市高等学校科技发展基金计划项目，项目名称：基于输出调节的多智能体协同控制及在机器人编队中的应用，项目编号：**。（项目主持人）
4、 中国博士后科学基金项目，项目名称：基于可见光通信的多机器人系统协同控制研究，项目编号：2016M591233。（项目主持人）

近期发表论文：
[1] Jia Liu*, Zengqiang Chen, Zhongxin Liu, Xinghui Zhang. Distributed robust consensus control for nonlinear multi-agent systems by using output regulation approach. IMA Journal of Mathematical Control and Information, 32: 515-535, 2015.(SCI、EI检索)
[2] Jia Liu, Zengqiang Chen, Xinghui Zhang, Zhongxin Liu. Neural-Networks-Based Distributed Output Regulation of Multi-agent Systems with Nonlinear Dynamics, Neurocomputing, 125: 8-87, 2014. (SCI, EI检索)
[3] Jia Liu, Zhongxin Liu, Zengqiang Chen. Coordinative control of multi-agent systems using distributed nonlinear output regulation. Nonlinear Dynamics, 67(3): 1871-1881, 2012. (SCI, EI检索)
[4] Jia Liu, GuangdengZong. New delay-dependent asymptotic stability conditions concerning BAM neural networks of neutral-type. Neurocomputing, 72: 2549-2555, 2009. (SCI, EI检索)
[5] Jia Liu, Zengqiang Chen. Robust H∞ consensus control concerning second-order multi-agent systems with time-varying delays on dynamic topologies. International Journal of Computer Mathematics, 88(12): 2485-2501, 2011. (SCI检索)
[6] Jia Liu, GuangdengZong, Yunxi Zhang, Robust asymptotic stability for BAM neural networks with time-varying delays via LMI approach, Applied Mathematics--A Journal of Chinese Universities Series B, 24(3), 282-290, 2009. (SCI检索)
[7] Jia Liu*,Zengqiang Chen, Shigang Cui. Distributed Output Regulation for Discrete-Time Nonlinear Multi-agent Systems Based on Fuzzy Models. Proceedings of the 32th Chinese Control Conference, Xi’an, China, July 26-28, 2013: 7039-7044. (EI检索)
[8] Jia Liu, Zengqiang Chen, Zhongxin Liu, Peng Yang. Output Regulation of Nonlinear Multi-agent Systems Based on Dynamic Neural Networks. Proceedings of the 31th Chinese Control Conference, Hefei, China, July 24-26, 2012. (EI检索)
[9] Jia Liu, Zhongxin Liu, Zengqiang Chen. Coordinative control on output regulation of multi-agent systems with general nonlinear dynamics. Proceedings of the 30th Chinese Control Conference, Yantai, China, July 22-24, 2011, 6007-6011. (EI检索)
[10] Jia Liu, Zhongxin Liu, Zengqiang Chen. Robust H∞ consensus control for multi-agent system with dynamic topologies and time-varying delays. Proceedings of the 29th Chinese Control Conference, Beijing, China, July 29-31, 2010, 4512-4517. (EI检索)
[11] Jia Liu, Yunxi Zhang*, Kuansheng Zou, Jigong Li. Analysis and design concerning state estimator for BAM neural networks with time-varying delays of neutral type. Proceedings of the 28th Chinese Control and Decision Conference, Yinchuan, China, May 28-30, 2016: 3073-3078. (EI检索)
[12] 刘佳*，张运喜. 中立型时变时滞BAM神经网络状态估计器的设计. 天津职业技术师范大学校报, 2016, 26(1): 58-62.
[13] 刘佳, 陈增强, 刘忠信. 非线性多智能体系统鲁棒输出调节. 复杂系统与复杂性科学, 2012, 9(1), 8-15. (核心期刊)
[14] 刘佳, 陈增强, 刘忠信. 多智能体系统及其协同控制研究进展. 智能系统学报, 2010, 5(1): 1-9. (核心期刊)
[15] 刘佳, 陈增强, 刘忠信. 具有非线性形式的多智能体系统分布式鲁棒输出调节. 第七届全国多智能体系统与控制会议（MASC2011）, 中国烟台, 2011年10月21-23日, 1-7.
[16] Yunxi Zhang, Jia Liu*, Kuansheng Zou. Sliding-mode guidance law with impact angle constraint accounting for autopilot lag. Proceedings of the 28th Chinese Control and Decision Conference, Yinchuan, China, May 28-30, 2016: 648-653. (EI检索)
[17] Yunxi Zhang, Jia Liu*, Yongxin Li. Robust stability analysis for BAM neural networks of neutral type with time-varying delays and linear fractional uncertainties. Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering, Xi’an, China, Dec. 12-13, 2015: 422-427. (CPCI、EI检索)
[18] GuangdengZong，Jia Liu. New delay-dependent global robust stability conditions for interval neural networks with time-varying delays. Chaos, Solitons, and Fractals, 42(5), 2954-2964, 2009. (SCI, EI检索)
[19] GuangdengZong, Jia Liu, Yunxi Zhang, LinlinHou. Delay-range-dependent exponential stability criteria and decay estimation for switched Hopfield neural networks of neutral type. Nonlinear Analysis: Hybrid Systems, 2010, 4(3): 583-592 (SCI检索).
联系方式：
电子信箱：liujia0704@126.com
联系电话：**