Approximation-based adaptive fixed-time tracking control for uncertain high-order nonlinear systems subject to time-varying parameters and unknown input nonlinearity

• Published in: Scientific reports Vol. 15; no. 1; pp. 10504 - 18
• Main Authors: Zhang, Xiyu, Yang, Zhi, Zhou, Youjun, Deng, Xiongfeng
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 26.03.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1041; 639/705/258; Approximation; Approximation method; Fixed-time tracking control; High-order nonlinear systems; Humanities and Social Sciences; Input nonlinearity; multidisciplinary; Nerve growth factor; Neural networks; Nonlinear systems; Science; Science (multidisciplinary); Time-varying parameter; Input nonlinearity; High-order nonlinear systems; Time-varying parameter; Fixed-time tracking control

In this paper, the fixed-time tracking control (FTTC) problem is discussed for a type of uncertain high-order nonlinear systems. Compared with the existing works, the studied system is affected by time-varying parameters and unknown input nonlinearity. By applying neural network (NN) approximation m...