Finite-Time Adaptive Neural Prescribed Performance Control for High-Order Nonlinearly Parameterized Switched Systems With Unmodeled Dynamics and Input Quantization

Finite-Time Adaptive Neural Prescribed Performance Control for High-Order Nonlinearly Parameterized Switched Systems With Unmodeled Dynamics and Input Quantization

This study focuses on the adaptive prescribed-time neural control for a class of high-order switched systems with nonlinear parameterization in presence of unmodeled dynamics and quantized input. Different from the existing results on finite-time control on basis of adding a power integrator techniq...

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Bibliographic Details
Main Authors: Jiao-Jun Zhang, Yong-Hua Zhou, Qi-Ming Sun
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
High-order nonlinear systems
nonlinear parameterization
switched systems
prescribed-time control
unmodeled dynamics
input quantization
Online Access:https://ieeexplore.ieee.org/document/10378685/

Internet

https://ieeexplore.ieee.org/document/10378685/

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