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)

Detection of Airborne Nanoparticles through Enhanced Light Scattering Images. - Yan Ye; Qisheng Ou; Weiqi Chen; Qingfeng Cao; Dong-Bin Kwak; Thomas Kuehn; David Y. H. Pui (Sensors, 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)

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)

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)

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)