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.
Qualifications
Ph.D. , Jiangnan University, - 2017
Research interests
Process control;
Model identification;
Identification methods for strong coupling large-scale multivariable systems ;
2020 "Data filtering based maximum likelihood gradient method for multivariable nonlinear systems", The 32nd Chinese Control and Decision Conference (2020 CCDC), Aug 22-24, Hefei, China.
2015 "Coupled gradient algorithm for multivariable nonlinear systems", The 2015 27th Chinese Control and Decision Conference (2015 CCDC), May 23-25, Qingdao, China
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, Shenyang, China.
Grants
XJTLU Research Development Fund, 2022.09-2025.08, Principal Investigator, Research on identification methods of complex systems with multi-rate characteristics, No. RDF-21-02-013, Ongoing.
Natural Science Foundation of the Jiangsu Higher Education Institutions of China Programme-General Programme, 2020.07-2022.06, Principal Investigator, Research on identification modeling method of complex industrial process under big data, No. 20KJB120006, Completed.
XJTLU Key Programme Special Fund (KSF)-- Exploratory Research Programme, 2019.01-2021.12, Principal Investigator, Research on optimization Algorithm for complex nonlinear systems, No. KSF-E-12, Completed.
Research and Innovation Program for Graduate Students in Colleges and universities of Jiangsu, 2015.05-2016.05, Principal Investigator, The maximum likelihood identification methods based on the information filtering, No. KYLX15_1165, Completed.
Excellent Doctoral Program of Jiangnan University, 2014.01-2016.12, Principal Investigator.
Courses taught
MTH014 Multivariable Calculus (Architecture)
MTH019 Calculus
MTH004 Multivariable Calculus
MTH116 Foundations of Financial Computing
Professional memberships
2017 Reviewer for Adaptive Control and Signal Processing
2017 Reviewer for Journal of The Franklin Institute
