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Feng Li

Orcid: 0000-0001-9445-1627

Affiliations:
  • 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 17 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Deep reinforcement learning-based multi-objective optimization for electricity-gas-heat integrated energy systems.
[BibTeX]
[DOI]
Feng Li
,
Lei Liu
,
Yang Yu
Expert Syst. Appl., 2025

2024
Separation identification of a neural fuzzy Wiener-Hammerstein system using hybrid signals.
[BibTeX]
[DOI]
Feng Li
,
Hao Yang
,
Qingfeng Cao
Frontiers Inf. Technol. Electron. Eng., June, 2024

Deep Belief Network-Based Hammerstein Nonlinear System for Wind Power Prediction.
[BibTeX]
[DOI]
Feng Li
,
Mingguang Zhang
,
Yang Yu
,
Shengquan Li
IEEE Trans. Instrum. Meas., 2024

Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control.
[BibTeX]
[DOI]
Mingguang Zhang
,
Feng Li
,
Yang Yu
,
Qingfeng Cao
Frontiers Inf. Technol. Electron. Eng., 2024

2023
Correlation analysis-based parameter learning of Hammerstein nonlinear systems with output noise.
[BibTeX]
[DOI]
Feng Li
,
Mingjun Liang
,
Yinsheng Luo
Eur. J. Control, July, 2023

Parameter Learning for the Nonlinear System Described by a Class of Hammerstein Models.
[BibTeX]
[DOI]
Feng Li
,
Xinjian Zhu
,
Qingfeng Cao
Circuits Syst. Signal Process., May, 2023

Modeling and identification for practical nonlinear process using neural fuzzy network-based Hammerstein system.
[BibTeX]
[DOI]
Feng Li
,
Tian Zheng
,
Qingfeng Cao
Trans. Inst. Meas. Control, 2023

2022
Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification.
[BibTeX]
[DOI]
Feng Li
,
Tian Zheng
,
Naibao He
,
Qingfeng Cao
IEEE CAA J. Autom. Sinica, 2022

2021
Data-driven Learning Algorithm of Neural Fuzzy Based Hammerstein-Wiener System.
[BibTeX]
[DOI]
Feng Li
,
Yinsheng Luo
,
Naibao He
,
Ya Gu
,
Qingfeng Cao
J. Sensors, 2021

Robust Adaptive Control for A Novel Fully-Actuated Octocopter UAV with Wind Disturbance.
[BibTeX]
[DOI]
Panfeng Shu
,
Feng Li
,
Junjie Zhao
,
Masahiro Oya
J. Intell. Robotic Syst., 2021

A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise.
[BibTeX]
[DOI]
Feng Li
,
Keming Yao
,
Bo Li
,
Li Jia
J. Frankl. Inst., 2021

2020
Neuro-fuzzy based identification of Hammerstein OEAR systems.
[BibTeX]
[DOI]
Bensheng Lyu
,
Li Jia
,
Feng Li
Comput. Chem. Eng., 2020

Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals.
[BibTeX]
[DOI]
Bensheng Lyu
,
Li Jia
,
Feng Li
IEEE Access, 2020

2019
Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals.
[BibTeX]
[DOI]
Feng Li
,
Li Jia
Neurocomputing, 2019

Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise.
[BibTeX]
[DOI]
Li Jia
,
Yangyang Li
,
Feng Li
Complex., 2019

2017
Neuro-fuzzy based identification method for Hammerstein output error model with colored noise.
[BibTeX]
[DOI]
Feng Li
,
Li Jia
,
Daogang Peng
,
Chao Han
Neurocomputing, 2017

Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise.
[BibTeX]
[DOI]
Feng Li
,
Li Jia
,
Qi Xiong
Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017


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