Staff

Profile

Feiyan Chen has been working as a lecturer for XJTLU since September 2016. She has received her Ph. D. degree from Jiangnan University in 2017.

Her main research area is system identification. Identification, then, is to select that model in the model set that describes the data best, according to the criterion. She has been interested in optimization algorithms for complex nonlinear systems in recent years. And She has published some SCI papers in renowned journals including Nonlinear Dynamics, Journal of the Franklin Institute, Applied Mathematical Modelling, Mathematics and Computers in Simulation, etc.

Qualifications
- Ph.D. , Jiangnan University, - 2017
Research interests
- Identification methods for strong coupling large-scale multivariable systems ;
- Complex nonlinear system identification;
Articles
- Chen FY & Ding F 2014 'Maximum likelihood based multi-innovation stochastic gradient estimation for controlled autoregressive ARMA systems using the data filtering technique', The 2014 11th World Congress on Intelligent Control and Automation (2014 WCICA), June 29-July 4, 2014, Shenyang, China, p. 5984-5989. EI: 20152600977704.
- Chen FY, Ding F, Xu L & Hayat T 2018 'Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise', Journal of the Franklin Institute, Vol. 355, no. 7, p. 3381-3398. SCI: GC0UQ.
- Chen FY, Ding F, Alsaedi A & Hayat T 2017 'Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle', Mathematics and Computers in Simulation, Vol. 132, p. 53-67. SCI: EA7NI.
- Chen FY, Ding F & Sheng J 2015 'Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique', Journal of the Franklin Institute, Vol. 352, no. 12, p. 5882-5896. SCI: CZ7JA; EI: 20154701583827.
- Chen FY, Ding F & Li JH 2015 'Maximum likelihood gradient-based iterative estimation algorithm for a class of input nonlinear controlled autoregressive ARMA systems', Nonlinear Dynamics, Vol. 79, no. 2, p. 927-936. SCI: AZ6FS; EI: 201445177624.
- Chen FY & Ding F 2016 'Recursive least squares identification algorithms for multiple-input nonlinear Box-Jenkins systems using the maximum likelihood principle', Journal of Computational and Nonlinear Dynamics, Vol. 11, no. 2, p. 021005-021005-7. doi: 10.1115/1.4030387. SCI: DD0HJ; EI: 20153501227240.
- Chen FY & Ding F 2016 'The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems', Applied Mathematical Modelling, Vol. 40, no. 3, p. 2106-2118. SCI: DC4LE; EI: 20155201720027.
- Wang XH, Chen FY & Ding F 2015 'Coupled gradient algorithm for multivariable nonlinear systems', The 2015 27th Chinese Control and Decision Conference (2015 CCDC), May 23-25, 2015, Qingdao, China, p. 6296-6299. EI: 20154401482774.

Telephone
+86 (0)512 81883238
Email
FEIYAN.CHEN@xjtlu.edu.cn
Address

BB430
Mathematical Sciences
Suzhou Dushu Lake Science and Education Innovation District
Suzhou Industrial Park
Suzhou
P.R.China
215123

Profile

Qualifications

Research interests

Articles