个人简历
1999.09-2003.06 扬州大学理学院数学系 学士2003.09-2006.06 扬州大学信息工程学院 硕士2009.09-2013.12 江南大学物联网工程学院 博士2014.04-2017.12 南京航空航天大学 博士后2014.10-2016.03 加拿大阿尔伯特大学 访问学者2017.03—至今 江南大学理学院 副教授荣誉与奖励1.2011年 无锡市优秀教育工作者2.2012年 无锡市新区优秀党员3.2012年 江苏省优秀教师党员4.2014年 江苏省青蓝工程青年骨干教师5.2015年 无锡市十大杰出青年科技之星6.2016年 江苏省青蓝工程中青年学术带头人
研究领域
1. 系统建模，参数辨识2. 状态估计及滤波3. 混沌系统的控制与同步
近期论文
[1] Chen J, Huang B, Ding F, Gu Y, Variational Bayesian approach for ARX systems with missing observations and varying time-delays, Automatica, 94, pp. 194-204, 2018. （Regular paper）(SCI)[2] Chen J, Ding F, Liu YJ, Zhu QM, Multi-step-length gradient iterative algorithm for equation-error type models, Systems & Control Letters, 115, pp. 15-21, 2018. (SCI)[3] Chen J, Liu YJ, Ding F, Zhu QM, Gradient based particle filter algorithm for an ARX model with nonlinear communication output, IEEE Transactions on. Systems, Man and Cybernetics: Systems, 99, 2018. DOI: 10.1109/TSMC.2018.2810277 (SCI)[4] Chen J, Zhu QM, Li J, Biased compensation recursive least squares algorithm for rational models, Nonlinear Dynamics, 91(2), pp. 797-807, 2018. (SCI)[5] Chen J, Liu YJ, Xu L, A new filter based stochastic gradient algorithm for dual-rate ARX models, International Journal of Adaptive Control and Signal Processing, 2018. (On line) (SCI)[6] Chen J, Liu YJ, Zhu QM, A bias compensation recursive algorithm for dual-rate rational models, IET Control Theory and Applications, 2018. (On-line) (SCI)[7] Chen J，Liu YJ, Variational Bayesian-Based Iterative Algorithm for ARX Models with Random Missing Outputs, Circuits, Systems and Signal Processing, 37(4) pp. 1594-1608, 2018. (SCI)[8] Chen J, Jiang B, Missing output identification model based recursive least squares algorithm for a distributed parameters, International Journal of Control, Automation, and Systems, 16(1), pp. 1-8, 2018. (SCI)[9] Chen J，Ma JX, Liu YJ, Ding F, Identification methods for time-delay systems based on the redundant rules, Signal Processing, 137, pp. 192-198, 2017. (SCI)[10] 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, 354(11), pp. 4425-4437, 2017. (SCI)[11] Chen J, Liu Y.J, Wang X.H, Recursive least squares algorithm for nonlinear dual-rate systems using missing-output estimation model, Circuits, Systems and Signal Processing, 36(4), pp. 1406-1425, 2016. (SCI)[12] Chen J, Jiang B, Modified stochastic gradient parameter estimation algorithms for a nonlinear two-variable difference system. International Journal of Control, Automation, and Systems, 14(6), pp. 1-8, 2016. (SCI)[13] Chen J, Wang XP, Identification of Hammerstein systems with continuous nonlinearity, Information Processing Letters, 115, pp. 822-827, 2015. (SCI)[14] Chen J, Jiang B, Identification methods for two-variable difference systems, Circuits, Systems and Signal Processing, 12(2), pp. 1-12, 2015. (SCI)[15] Chen J, Ni YX, Parameter identification methods for an additive nonlinear system, Circuits, Systems and Signal Processing, 33(10), pp. 3053-3064, 2014. (SCI)[16] Chen J, Ding RF, Two identification methods for dual-rate sampled-data nonlinear output-error systems, Mathematical Problems in Engineering, pp. 1-10, 2014. (SCI)[17] Chen J, Several gradient parameter estimation algorithms for dual-rate sampled systems, Journal of the Franklin Institute-Engineering and Applied Mathematics, 351(1), pp. 543-554, 2014. (SCI)[18] Chen J, Ding RF, Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIR model, Journal of Zhejiang University-SCIENCE C, 15(2), pp. 147-152, 2014. (SCI)[19] Chen J, Lu XL, Ding RF, Gradient based iterative algorithm for Wiener systems with saturation and dead-zone nonlinearities, Journal of Vibration and Control, 20(4), pp. 634-640, 2014. (SCI)[20] Chen J, Lv LX, Ding RF, Multi-innovation stochastic gradient algorithms for dual-rate sampled systems with preload nonlinearity, Applied Mathematics Letters, 26(1), pp. 124-129, 2013. (SCI)
