Observer‐Based Model‐Free Iterative Learning for Fault‐Tolerant Control of Nonlinear Systems

ABSTRACT This paper proposes an observer‐based model‐free iterative learning fault tolerant control (ObMFilFTC) algorithm for the nonlinear system with disturbances and non‐repetitive time‐varying actuator faults. First, an original linearization data model (LDM) considering non‐repetitive uncertain...

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Bibliographic Details
Published in:	International journal of robust and nonlinear control Vol. 35; no. 13; pp. 5506 - 5518
Main Authors:	Wang, Rongrong, Chi, Ronghu
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 10.09.2025 Wiley Subscription Services, Inc
Subjects:	Actuators Algorithms Convergence Disturbances Fault tolerance Faults iterative learning output observer Machine learning model‐free iterative learning control Nonlinear control nonlinear non‐affine system Nonlinear systems non‐repetitive uncertainties Parameter estimation time‐iterative‐varying actuator faults Tracking errors Uncertainty
ISSN:	1049-8923, 1099-1239
Online Access:	Get full text
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