陈晶
性别： 男
出生日期：1981.09.29
职称、职务：副教授
电话（手机）： **
E-mail：chenjing**@126.com

【学术简介】
主要从事混沌系统的控制与同步，系统建模与参数辨识，以第一作者发表论文40余篇，其中SCI收录近30篇，授权发明专利1项，申请发明专利3项，主持国家省部级课题5项。H3C网络工程师，H3CNE讲师。《International Journal of Modelling, Identification and Control》期刊编委，国际会议International Conference on Modelling, Identification and Control及International Symposium on Modelling, Identification and Control 程序委员会委员。《Systems & Control Letters》、《 IEEE Transactions on. Systems, Man and Cybernetics: Systems》、《International Journal of Adaptive Control and Signal Processing》、《IET Control Theory and Applications》、《Nonlinear Dynamics》、《Journal of the Franklin Institute》等期刊审稿人。【工作及研究经历】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****
2017.03—至今 江南大学理学院 副教授
【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
【主要论著】 部分期刊文章
[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.** (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)
[21] Chen J, Zhang Y, Ding RF, Gradient-based parameter estimation for input nonlinear systems with ARMA noises based on the auxiliary model, Nonlinear Dynamics, 72(4), pp. 865-871, 2013. (SCI)
[22] Chen J, Ding RF, An auxiliary-model-based stochastic gradient algorithm for dual-rate sampled-data Box-Jenkins systems, Circuits, Systems and Signal Processing, 32(5), pp. 2475-2485, 2013. (SCI)
[23] Chen J, Wang XP, Ding RF. Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities, Applied Mathematical Modelling, 36(1), pp. 238-243, 2012. (SCI)
[24] Chen J, Lu XL, Ding R, Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search, Applied Mathematics and Computation, 219(5), pp. 2498-2505, 2012. (SCI)
[25] Chen J, Ding F, Least squares and stochastic gradient parameter estimation for multivariable nonlinear Box-Jenkins models based on the auxiliary model and the multi-innovation identification theory, Engineering Computations, 29(8), pp. 907-921, 2012. (SCI)
[26] Chen J, Ding F, Modified stochastic gradient algorithms with fast convergence rates, Journal of Vibration and Control, 17(9), pp. 1281-1286, 2011. (SCI)
[27] Chen J, Zhang Y, Ding RF, Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems, Mathematical and Computer Modelling, 52(9-10), pp. 1428-1434, 2010. (SCI)
[28] 陈晶, 张天平. 一类不确定混沌系统的观测器同步, 物理学报, 55(8), pp. 3928-3932, 2006. (SCI)
[29] 陈晶, 张天平. 具有死区非线性输入的一类不确定混沌系统的控制. 物理学报, 56(2) pp. 686-692, 2007. (SCI)
[30] 陈晶, 姜斌, 具有预负载非线性特性的双率系统递推最小二乘算法, 控制与决策, 10, pp. 56-59, 2015. (EI)
[31] Chen J , Wang XP, Recursive least squares algorithm for a nonlinear additive system with time delay, Journal of Shanghai Jiaotong university, 21(2), pp. 159-163, 2016. (EI)
[32] Chen J, An interesting method for the exponentials for some special matrices, Systems Science & Control Engineering, 2 (1), pp. 2-6, 2014.[33] Chen J, Zhang Y, Ding F, Gradient based iterative algorithm for Wiener systems with piece-wise nonlinearities using analytic parameterization methods, 计算机与应用化学, 28(7), pp. 855-857, 2011.
[34] 陈晶, 张天平, 王正群, 基于主动控制的一类具有未知参数干扰的混沌系统的同步, 系统工程与电子技术, 28(6) pp. 919-921, 2006. (EI)
[35] 陈晶, 张天平, 具有非线性输入的一类不确定混沌系统的控制, 系统工程与电子技术, 29(2) pp .269-272, 2007. (EI)
【专利】
1. 已授权专利
（1）发明专利： 一种基于辨识的双率系统的参数辨识，授权专利号：**-624.33 授权年份：2015， 本人排名：第一
（2）实用新型专利：一种用于小功率灯具的恒流驱动电路结构，授权专利号：CN4.3 授权年份：2013，本人排名：第一
2. 申请专利
（1）发明专利：一种基于自回归模型的卡尔曼滤波算法，在审，2016
（2）发明专利：一种基于多率模型的阶段预测和平滑算法， 在审， 2016
（3）发明专利： 多步长梯度快速迭代算法，申请阶段，2017
【科研、教学项目】
科研项目：
1. 国家自然科学基金（青年基金） 流程工业中多率系统的参数辨识 主持
2. 江苏省自然科学面上基金 双率非线性系统参数辨识方法研究 主持
3. 江苏省高校自然科学基金 基于反馈辨识算法的丢失数据系统参数辨识方法研究 主持
4. 江苏省博士后A类基金 基于参数辨识的故障诊断方法研究 主持
5. 江苏省哲学社会科学基金 多采样率硬非线性系统的参数辨识方法研究 主持
教学项目：
【科研、教学成果及获奖】
科研获奖：
1. 2010年 江苏省科技进步二等奖（参与）
2. 2016年 江苏省高等学校科学技术研究成果自然科学二等奖（主持）
教学获奖：
【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****科技之星
6.2016年 江苏省青蓝工程中青年学术带头人
【以上资料更新日期】
2018年10月


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