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Master advisors

Liu,Yanjun

CURRICULUM VITAE

Yanjun Liu

Associate Professor

Department of Automation, School of Internet of Things, Jiangnan University

Email: yjl@jiangnan.edu.cn

Tel: +86-13584159252


Education background

· Ph.D., in Control Theory and Control Engineering, Jiangnan University, Wuxi, China, 2012

· Visiting Ph.D. student, Department of Mechanical Engineering, University of Victoria, BC, Canada, 2011

· M.Sc. in Control Theory and Control Engineering, Jiangnan University, Wuxi, China, 2009

· B.Sc. in Electronic Information Engineering, Jiangsu Norm University of Technology, Changzhou, China, 2003


Research Interests

System Modeling and identification; Adaptive Control; Adaptive filtering; Multivariable systems, multirate sampled systems


Projects

l Natural Science Foundation of China: Identification of Complex Dynamic Network Systems (61304138), 2014.01-2016.12

l Natural Science Foundation of Jiangsu Province: Topology Structure and Identification for a class of complex Dynamic networks (BK20130163), 2013.07-2016.07

Honors/Awards

· Highly cited researcher 2015, TOMSON REUTERS

· Third prize in Scientific and Technology of Jiangsu Province (number 2), 2017

TitleSystem identification theory and methods for multirate sampled systems.

· Second prize in Scientific and Technology of Jiangsu Province (number 2), 2010

Title: Identification methods based on the hierarchical identification principle and their performance analysis.

· Excellent master thesis of Jiangsu Province, 2010

Title: Recursive least squares type identification for a class of non-uniformly sampled-data systems


Other work experience

· Teaching faculty of Jiangyin Huazi Vocational School, Jiangsu, P. R. China, Aug 2003 – July 2007


Teaching Course

· Automatic control principle;

· Modern control theory;

· System identification;

· literature retrieval and scientific writing


Publications

[1] Liu YJ, Ding F, Shi Y. An efficient hierarchical identification method for general dual-rate sampled-data systems. Automtica. 2014, 50(3):962-970.

[2] 刘艳君*, 陶太洋,丁锋. 多输入动态调节系统的正交匹配追踪算法. 中南大学学报, 2017, 48(2):389-394.

[3] 刘艳君*, 韩雪, 丁锋. 基于辅助变量的压缩采样匹配追踪闭环辨识方法. 控制与决策, 2017, 32(10):1837-1843.

[4] 刘艳君*,丁锋 多变量系统的耦合梯度辨识算法与性能分析. 控制与决策,2016, 31(8):1487-1492.

[5] Liu YJ, Tao TY. A CS recovery algorithm for model and time delay identification of MISO-FIR systems. Algorithms, 2015, 8:743-753

[6] 刘艳君*,陶太洋,丁锋. MISO 系统基于正交匹配追踪算法的参数与时滞联合估计. 控制与决策, 2015, 30(11):2013-2017.

[7] 刘艳君*,毛亚文. 一类基于预测的自适应PID控制器.系统仿真学报, 2015, 27(11): 2778-2783, 2790.

[8] Liu YJ, Ding F. Convergence properties of the least squares estimation algorithm for multivariable systems. Applied Mathematical Modelling, 2013, 37(1-2):476-483.

[9] Liu YJ. Ding RF. Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises, International Journal of Computer Mathematics. 2013, 90(9): 1840-1852.

[10]Liu YJ, Ding F, Shi Y. Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle. Circuits Systems and Signal Processing, 2012, 31(6): 1895-2000.

[11]Liu YJ, Wang DQ, Ding F. Least-squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data. Digital Signal Processing, 2010, 20(5): 1458-1467.

[12]Liu YJ, Sheng J, et al. Convergence of stochastic gradient algorithm for multivariable ARX-like systems. Computers & Mathematics with Applications, 2010, 59(8): 2615-2627.

[13]Liu YJ, Yu L, Ding F. Multi-innovation extended stochastic gradient algorithm and its performance analysis. Circuits, Systems and Signal Processing, 2010, 29(4): 649-667.

[14]Liu YJ, Xie L, Ding F. An auxiliary model based recursive least squares parameter estimation algorithm for non-uniformly sampled multirate systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering (JSCE), 2009, 223(4): 445-454.

[15]Liu YJ, Xiao YS, Zhao XL. Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model. Applied Mathematics and Computation, 2009, 215(4): 1477-1483.

[16]刘艳君, 丁锋. 非均匀周期采样系统的递阶最小二乘辨识方法. 控制与决策, 2011, 26(3): 453-456.

[17]刘艳君, 谢莉, 丁锋. 非均匀采样数据系统的AM-RLS辨识方法及仿真研究. 系统仿真学报, 2009, 21(19): 6186-6189.

[18]刘艳君, 谢莉, 丁锋. 非均匀多率ARMAX系统RELS算法性能分析. 控制工程, 2009, 16(4): 409-411,415.

[19]刘艳君, 丁锋. 通过极小化参数估计误差协方差阵的递推最小二乘算法. 科学技术与工程, 2008, 8(11): 2941-2944.

[20]Chen J, Liu YJ; Wang XH. Recursive least squares algorithm for nonlinear dual-rate systems using missing-output estimation model, Circuits, Systems and Signal Processing, 2016. 36(4): 1406~1425

[21]Chen J, Ma JX, Liu YJ, Ding F. Identification methods for time-delay systems based on the redundant rules, Signal Processing , 2017. 137: 192~198

[22]Chen J, Li J, Liu YJ, Ding F. Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter, Journal of the Franklin Institute-Engineering and Applied Mathematics,, 2017. 354(11): 4425~4437

[23]Chen J; Liu YJ. Variational Bayesian-based iterative algorithm for ARX models with random missing outputs, Circuits, Systems and Signal Processing, 2017.(1): 1~15

[24]陶太洋, 刘艳君, 丁锋. MISO-FIR系统的梯度追踪辨识算法. 信息与控制, 2016, 45(2):151-156.

[25]Han X. Liu YJ. A Modified orthogonal matching pursuit algorithm for identification of a class of closed-loop systems. ICIC Express Letters, 2016, 10(10): 2413-2419.

[26]Wang FF, Liu YJ, Yang EF. Least squares-based iterative identification methods for linear-in-parameters systems using the decomposition technique. Circuits, Systems and Signal Processing, 2016, 35(11): 3863-3881

[27]Ding F, Liu YJ, Bao B. Gradient based and least squares based iterative estimation algorithms for multi-input multi-output systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering (JSCE), 2012, 226(1): 43-55.

[28]Xie L, Liu YJ, Yang HZ. Gradient based and least squares based iterative algorithms for matrix equations AXB+CXTD=F. Applied Mathematics and Computation, 2010, 217(5): 2191-2199. SCI: 656HP; EI: 20104013274305.

[29]Ding J, Liu YJ, Ding F. Iterative solutions to matrix equations of form AiXBi=Fi. Computers & Mathematics with Applications, 2010, 59(11): 3500-3507.

[30]于 丽, 刘艳君, 丁锋. CARMA模型多新息增广随机梯度参数估计算法的收敛性分析. 系统工程与电子技术, 2009, 31(6): 1446-1449.

[31]Xu H, Liu Y J. Matrix decomposition based threshold orthogonal matching pursuit algorithm for parameter and time delay identification of MISO-FIR systems. Proceedings of the the 43rd Annual Conference of the IEEE Industrial Electronics Society (2017 IECON), October 29-November 1, 2017, Beijing, China, pp: 6285-6290.

[32]Tao TY, Liu YJ. Parameter and time-delay identification for MISO-FIR systems based on the orthogonal matching pursuit algorithm. Proceedings of the 27th Chinese Control and Decision Conference (2015 CCDC), May. 23-25, Qingdao, China. pp. 6316-6319.

[33]Han X, Liu YJ. An orthogonal matching pursuit based algorithm for identification of a class of closed-loop systems. Proceedings of the 28th Chinese Control and Decision Conference (2016 CCDC), May. 28-30, Yinchuan, China. pp. 1385-1389.

[34]Han X, Liu YJ A greedy method for time-delay and parameter estimation of a class of closed-loop systems. Proceedings of the 35th Chinese Control Conference (2016 CCC), July 27-29, Chendu, China, pp. 2171-2175.

[35]Mao YW, Liu YJ, Ding F. Filtering Based Multi-innovation Stochastic Gradient Identification Algorithm for Multivariable Nonlinear Equation-Error Autoregressive Systems. 2016 12th World Congress on Intelligent Control and Automation (WCICA) June 12-15, 2016, Guilin, China. 3027-3032.

[36]Liu YJ, Ding F. Hierarchical least squares identification for periodically non-uniformly sampled multirate systems. The 2010 Chinese Control and Decision Conference (2010 CCDC), May 26-28, 2010, Xuzhou, China, pp. 3329-3334. [37] Liu YJ, Ding F. Decomposition based least squares estimation algorithm for non-uniformly sampled multirate systems. 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, December 16–18, 2009, Shanghai, China, pp. 7256-7260.

[38] Liu YJ, Ding F, Shi Y. A new parameter estimation algorithm for non-uniformly multirate sampled-data systems. 2011 American Control Conference (ACC 2011), June 29 - July 1, 2011, San Francisco, California, USA, pp. 84-89. [39] Liu YJ, Ding F. Partially coupled estimation algorithm for discrete-time multiple-input multiple-output systems. Proceedings in the 24th Chinese Control and Decision Conference, Taiyuan, Shanxi, May 23-25, 2012 (Accepted )

[40] Liu YJ, Ding F. Performance analysis of the recursive extended least squares method for multivariable systems with moving average noises. Proceedings in the 31th Chinese Control Conference, Hefei, Anhui, July 25-27, 2012

[41] Liao YW, Liu YJ, Ding RF. Convergence of the auxiliary model based stochastic gradient algorithm for multiple-input single-output systems. The 2nd International Conference on Computer Engineering and Technology (ICCET 2010), April 16-18, 2010, Chengdu, China, vol. 4, pp. V4509-V4512.

[42] Liao YW, Liu YJ, Ding F. Comparisons of stochastic gradient and least squares algorithms for multivariable systems. The 2010 Chinese Control and Decision Conference (2010 CCDC), May 26-28, 2010, Xuzhou, China, pp. 3275-3279. [43] Ding F, Liu YJ. Hierarchical stochastic gradient parameter estimation algorithms for multivariable systems with colored noises. 2009 American Control Conference, June 10-12, 2009, St. Louis, USA, pp. 3830-3835. [44] Ding Jie, Liu YJ, Ding F. Iterative solutions to matrix equations of form AiXBi=Fi. 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, December 16–18, 2009, Shanghai, China, pp. 1725-1728.

[45] Xie L, Yang HZ, Liu YJ, Ding F. Iterative solutions for general coupled matrix equations with real coefficients. 2011 American Control Conference (ACC 2011), June 29 - July 1, 2011, San Francisco, California, USA, pp. 669-674.


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