Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise. - Feng Li 023; Li Jia 002; Qi Xiong (LSMS/ICSEE (1), 2017)

Neuro-fuzzy based identification method for Hammerstein output error model with colored noise. - Feng Li 023; Li Jia 002; Daogang Peng; Chao Han (Neurocomputing, 2017)

Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise. - Li Jia 002; Yangyang Li; Feng Li 023 (Complex., 2019)

Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals. - Feng Li 023; Li Jia 002 (Neurocomputing, 2019)

Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals. - Bensheng Lyu; Li Jia 002; Feng Li 023 (IEEE Access, 2020)

Neuro-fuzzy based identification of Hammerstein OEAR systems. - Bensheng Lyu; Li Jia 002; Feng Li 023 (Comput. Chem. Eng., 2020)

A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise. - Feng Li 023; Keming Yao; Bo Li 112; Li Jia 002 (J. Frankl. Inst., 2021)

Robust Adaptive Control for A Novel Fully-Actuated Octocopter UAV with Wind Disturbance. - Panfeng Shu; Feng Li 023; Junjie Zhao; Masahiro Oya (J. Intell. Robotic Syst., 2021)

Data-driven Learning Algorithm of Neural Fuzzy Based Hammerstein-Wiener System. - Feng Li 023; Yinsheng Luo; Naibao He; Ya Gu; Qingfeng Cao (J. Sensors, 2021)

Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification. - Feng Li 023; Tian Zheng; Naibao He; Qingfeng Cao (IEEE CAA J. Autom. Sinica, 2022)

Modeling and identification for practical nonlinear process using neural fuzzy network-based Hammerstein system. - Feng Li 023; Tian Zheng; Qingfeng Cao (Trans. Inst. Meas. Control, 2023)

Parameter Learning for the Nonlinear System Described by a Class of Hammerstein Models. - Feng Li 023; Xinjian Zhu; Qingfeng Cao (Circuits Syst. Signal Process., 2023)

Correlation analysis-based parameter learning of Hammerstein nonlinear systems with output noise. - Feng Li 023; Mingjun Liang; Yinsheng Luo (Eur. J. Control, 2023)

Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control. - Mingguang Zhang; Feng Li 023; Yang Yu 005; Qingfeng Cao (Frontiers Inf. Technol. Electron. Eng., 2024)

Deep Belief Network-Based Hammerstein Nonlinear System for Wind Power Prediction. - Feng Li 023; Mingguang Zhang; Yang Yu 005; Shengquan Li (IEEE Trans. Instrum. Meas., 2024)

Separation identification of a neural fuzzy Wiener-Hammerstein system using hybrid signals. - Feng Li 023; Hao Yang; Qingfeng Cao (Frontiers Inf. Technol. Electron. Eng., 2024)

Deep reinforcement learning-based multi-objective optimization for electricity-gas-heat integrated energy systems. - Feng Li 023; Lei Liu; Yang Yu 005 (Expert Syst. Appl., 2025)

Identification methodology for MIMO Hammerstein nonlinear model with process noise. - Feng Li 023; Xueqi Sun; Tianhu Wang; Ranran Liu (Trans. Inst. Meas. Control, 2025)

Parameter Identification for the Hammerstein-Wiener Nonlinear Time Delay Systems with Process Noises. - Feng Li 023; Jiahu Han; Naibao He; Qingfeng Cao; Liangliang Xu (Circuits Syst. Signal Process., 2025)