Tiancheng Zong

According to our database, Tiancheng Zong authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., June, 2024

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

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., October, 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., June, 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., May, 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., February, 2023

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

2021

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

2020

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