Parameter Estimation of Wiener Systems Based on the Particle Swarm Iteration and Gradient Search Principle. - Junhong Li; Tiancheng Zong; Juping Gu; Liang Hua (Circuits Syst. Signal Process., 2020)

Auxiliary model-based multi-innovation PSO identification for Wiener-Hammerstein systems with scarce measurements. - Tiancheng Zong; Junhong Li; Guoping Lu (Eng. Appl. Artif. Intell., 2021)

Parameter identification of dual-rate Hammerstein-Volterra nonlinear systems by the hybrid particle swarm-gradient algorithm based on the auxiliary model. - Tiancheng Zong; Junhong Li; Guoping Lu (Eng. Appl. Artif. Intell., 2023)

Bias-compensated least squares and fuzzy PSO based hierarchical identification of errors-in-variables Wiener systems. - Tiancheng Zong; Junhong Li; Guoping Lu (Int. J. Syst. Sci., 2023)

Identification of Hammerstein-Wiener Systems with State-Space Subsystems Based on the Improved PSO and GSA Algorithm. - Tiancheng Zong; Junhong Li; Guoping Lu (Circuits Syst. Signal Process., 2023)

Identification of fractional order Wiener-Hammerstein systems based on adaptively fuzzy PSO and data filtering technique. - Tiancheng Zong; Junhong Li; Guoping Lu (Appl. Intell., 2023)

Hierarchical maximum likelihood identification based on Levenberg-Marquardt and particle swarm optimization for feedback nonlinear systems. - Tiancheng Zong; Junhong Li; Guoping Lu (J. Syst. Control. Eng., 2023)

Parameter estimation of multivariable Wiener nonlinear systems by the improved particle swarm optimization and coupling identification. - Tiancheng Zong; Junhong Li; Guoping Lu (Inf. Sci., 2024)

Identification of nonlinear system with time delay based on wavelet packet decomposition and Gaussian kernel GMDH network. - Jun Yan; Junhong Li; Guixiang Bai; Tiancheng Zong (Int. J. Syst. Sci., 2024)

Maximum likelihood LM identification based on particle filtering for scarce measurement-data MIMO Hammerstein Box-Jenkins systems. - Tiancheng Zong; Junhong Li; Guoping Lu (Math. Comput. Simul., 2025)