Projects per year
Personal profile
Personal profile
Feiyan Chen has been working in 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.
Research interests
Process control;
Model identification;
Identification methods for strong coupling large-scale multivariable systems ;
Complex nonlinear system identification;
Teaching
MTH014 Multivariable Calculus (Architecture)
MTH019 Calculus
MTH004 Multivariable Calculus
MTH116 Foundations of Financial Computing
Education/Academic qualification
Ph.D. , Jiangnan University, - 2017
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Research on identification methods of complex systems with multi-rate characteristics
1/09/22 → 31/08/25
Project: Internal Research Project
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Algebraic and Numerical Analysis of Differential Equations Based on Computer Algebra
1/10/21 → 30/09/23
Project: Governmental Research Project
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Research on identification modeling method of complex industrial process under big data
Chen, F., 毛亚文 & 嵇凯
1/12/20 → 31/12/22
Project: Governmental Research Project
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Optimization algorithms for complex nonlinear systems
1/01/19 → 31/12/21
Project: Internal Research Project
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Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems
Liu, Q. & Chen, F., 21 Feb 2023, In: International Journal of Systems Science. 54, 7, p. 1484-1508 19 p.Research output: Contribution to journal › Article › peer-review
17 Citations (Scopus) -
Multi-innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle
Xia, H., Xu, S., Zhou, C. & Chen, F., 1 Jan 2022, In: Optimal Control Applications and Methods. 43, 1, p. 106-122 17 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data
Xu, L., Chen, F., Ding, F., Alsaedi, A. & Hayat, T., May 2021, In: International Journal of Adaptive Control and Signal Processing. 35, 5, p. 676-693 18 p.Research output: Contribution to journal › Article › peer-review
121 Citations (Scopus) -
Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling
Liu, Q., Chen, F., Ding, F., Alsaedi, A. & Hayat, T., Aug 2021, In: International Journal of Adaptive Control and Signal Processing. 35, 8, p. 1612-1632 21 p.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus) -
Combined estimation of the parameters and states for a multivariable state-space system in presence of colored noise
Cui, T., Chen, F., Ding, F. & Sheng, J., 1 May 2020, In: International Journal of Adaptive Control and Signal Processing. 34, 5, p. 590-613 24 p.Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus)