Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints

Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints

Abstract This paper proposes an adaptive output feedback full state constrain (FSC) controller based on the adaptive neural disturbance observer (ANDO) for a nonlinear electro-hydraulic system (NEHS) with unmodeled dynamics. The Barrier Lyapunov Functions (BLFs) are utilized to ensure that all state...

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Bibliographic Details
Main Authors: Van Du Phan, Hoai Vu Anh Truong, Van Chuong Le, Sy Phuong Ho, Kyoung Kwan Ahn
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Oil leakage fault
Neural network
Command-filtered
Disturbance observer
Full state constraint
Online Access:https://doi.org/10.1038/s41598-025-86583-x
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https://doi.org/10.1038/s41598-025-86583-x

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