Research output per year
Research output per year
- 14 results
Search results
-
2024
Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input–output-error systems with colored noises from observation data
Liu, Q., Chen, F., Guo, Q. & Wang, X., 15 Oct 2024, In: Journal of Computational and Applied Mathematics. 449, 115976.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
2023
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
42 Citations (Scopus) -
2022
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
7 Citations (Scopus) -
2021
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
124 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
13 Citations (Scopus) -
2020
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) -
Filtering-based parameter identification methods for multivariable stochastic systems
Xia, H. & Chen, F., Dec 2020, In: Mathematics. 8, 12, p. 1-19 19 p., 2254.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus) -
The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory
Ding, F., Wan, L., Guo, Y. & Chen, F., Jun 2020, In: Journal of the Franklin Institute. 357, 9, p. 5591-5609 19 p.Research output: Contribution to journal › Article › peer-review
14 Citations (Scopus) -
2018
Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise
Chen, F., Ding, F., Xu, L. & Hayat, T., May 2018, In: Journal of the Franklin Institute. 355, 7, p. 3381-3398 18 p.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus) -
2017
Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle
Chen, F., Ding, F., Alsaedi, A. & Hayat, T., 1 Feb 2017, In: Mathematics and Computers in Simulation. 132, p. 53-67 15 p.Research output: Contribution to journal › Article › peer-review
13 Citations (Scopus) -
2016
Recursive Least Squares Identification Algorithms for Multiple-Input Nonlinear Box-Jenkins Systems Using the Maximum Likelihood Principle
Chen, F. & Ding, F., 1 Mar 2016, In: Journal of Computational and Nonlinear Dynamics. 11, 2, 021005.Research output: Contribution to journal › Article › peer-review
16 Citations (Scopus) -
The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems
Chen, F. & Ding, F., 1 Feb 2016, In: Applied Mathematical Modelling. 40, 3, p. 2106-2118 13 p.Research output: Contribution to journal › Article › peer-review
Open Access32 Citations (Scopus) -
2015
Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique
Chen, F., Ding, F. & Sheng, J., 1 Dec 2015, In: Journal of the Franklin Institute. 352, 12, p. 5882-5896 15 p.Research output: Contribution to journal › Article › peer-review
10 Citations (Scopus) -
2014
Maximum likelihood gradient-based iterative estimation algorithm for a class of input nonlinear controlled autoregressive ARMA systems
Chen, F., Ding, F. & Li, J., Jan 2014, In: Nonlinear Dynamics. 79, 2, p. 927-936 10 p.Research output: Contribution to journal › Article › peer-review
14 Citations (Scopus)