Feng Li

21 papers Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Parameter identification for nonlinear Hammerstein models with stacked sparse autoencoder network.
Eng. Appl. Artif. Intell.
Feng Li, Liexin Song, Tianhu Wang, Ranran Liu
2026 J jnl
Parameters Identification of Wiener Nonlinear Systems with Gaussian Mixed Measurement Noises.
Circuits Syst. Signal Process.
Feng Li, Yanzong Zhu, Shengyi Qian, Ya Gu
2025 J jnl
Deep reinforcement learning-based multi-objective optimization for electricity-gas-heat integrated energy systems.
Expert Syst. Appl.
Feng Li, Lei Liu, Yang Yu
2025 J jnl
Identification methodology for MIMO Hammerstein nonlinear model with process noise.
Trans. Inst. Meas. Control
Feng Li, Xueqi Sun, Tianhu Wang, Ranran Liu
2025 J jnl
Parameter Identification for the Hammerstein-Wiener Nonlinear Time Delay Systems with Process Noises.
Circuits Syst. Signal Process.
Feng Li, Jiahu Han, Naibao He, Qingfeng Cao, Liangliang Xu
2024 J jnl
Deep Belief Network-Based Hammerstein Nonlinear System for Wind Power Prediction.
IEEE Trans. Instrum. Meas.
Feng Li, Mingguang Zhang, Yang Yu, Shengquan Li
2024 J jnl
Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control.
Frontiers Inf. Technol. Electron. Eng.
Mingguang Zhang, Feng Li, Yang Yu, Qingfeng Cao
2024 J jnl
Separation identification of a neural fuzzy Wiener-Hammerstein system using hybrid signals.
Frontiers Inf. Technol. Electron. Eng.
Feng Li, Hao Yang, Qingfeng Cao
2023 J jnl
Correlation analysis-based parameter learning of Hammerstein nonlinear systems with output noise.
Eur. J. Control
Feng Li, Mingjun Liang, Yinsheng Luo
2023 J jnl
Modeling and identification for practical nonlinear process using neural fuzzy network-based Hammerstein system.
Trans. Inst. Meas. Control
Feng Li, Tian Zheng, Qingfeng Cao
2023 J jnl
Parameter Learning for the Nonlinear System Described by a Class of Hammerstein Models.
Circuits Syst. Signal Process.
Feng Li, Xinjian Zhu, Qingfeng Cao
2022 J jnl
Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification.
IEEE CAA J. Autom. Sinica
Feng Li, Tian Zheng, Naibao He, Qingfeng Cao
2021 J jnl
A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise.
J. Frankl. Inst.
Feng Li, Keming Yao, Bo Li, Li Jia
2021 J jnl
Data-driven Learning Algorithm of Neural Fuzzy Based Hammerstein-Wiener System.
J. Sensors
Feng Li, Yinsheng Luo, Naibao He, Ya Gu, Qingfeng Cao
2021 J jnl
Robust Adaptive Control for A Novel Fully-Actuated Octocopter UAV with Wind Disturbance.
J. Intell. Robotic Syst.
Panfeng Shu, Feng Li, Junjie Zhao, Masahiro Oya
2020 J jnl
Neuro-fuzzy based identification of Hammerstein OEAR systems.
Comput. Chem. Eng.
Bensheng Lyu, Li Jia, Feng Li
2020 J jnl
Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals.
IEEE Access
Bensheng Lyu, Li Jia, Feng Li
2019 J jnl
Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise.
Complex.
Li Jia, Yangyang Li, Feng Li
2019 J jnl
Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals.
Neurocomputing
Feng Li, Li Jia
2017 — conf
Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise.
LSMS/ICSEE (1)
Feng Li, Li Jia, Qi Xiong
2017 J jnl
Neuro-fuzzy based identification method for Hammerstein output error model with colored noise.
Neurocomputing
Feng Li, Li Jia, Daogang Peng, Chao Han