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 15 papers
between 2017 and 2024.
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Bibliography
2024
Separation identification of a neural fuzzy Wiener-Hammerstein system using hybrid signals.
Frontiers Inf. Technol. Electron. Eng., June, 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