Feng Li
Orcid: 0000-0001-9445-1627Affiliations:
- Jiangsu University of Technology, College of Electrical and Information Engineering, Department of Automation, Changzhou, China
- Shanghai University, College of Mechatronics Engineering and Automation, Department of Automation, China (2015 - 2018)
According to our database1,
Feng Li
authored at least 14 papers
between 2017 and 2024.
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Bibliography
2024
Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control.
Frontiers Inf. Technol. Electron. Eng., 2024
2023
Correlation analysis-based parameter learning of Hammerstein nonlinear systems with output noise.
Eur. J. Control, July, 2023
Parameter Learning for the Nonlinear System Described by a Class of Hammerstein Models.
Circuits Syst. Signal Process., May, 2023
Modeling and identification for practical nonlinear process using neural fuzzy network-based Hammerstein system.
Trans. Inst. Meas. Control, 2023
2022
Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification.
IEEE CAA J. Autom. Sinica, 2022
2021
J. Sensors, 2021
Robust Adaptive Control for A Novel Fully-Actuated Octocopter UAV with Wind Disturbance.
J. Intell. Robotic Syst., 2021
A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise.
J. Frankl. Inst., 2021
2020
Comput. Chem. Eng., 2020
Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals.
IEEE Access, 2020
2019
Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals.
Neurocomputing, 2019
Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise.
Complex., 2019
2017
Neuro-fuzzy based identification method for Hammerstein output error model with colored noise.
Neurocomputing, 2017
Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise.
Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017