FDI Design for Uncertain Nonlinear Systems with Both Actuator and Sensor Faults-Reference-Cited by-同舟云学术

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FDI Design for Uncertain Nonlinear Systems with Both Actuator and Sensor Faults

Published:2014-04-10 Issue:1 Volume:17 Page:213-224
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian J Control

Author:

Yang Junqi^ORCID,Zhu Fanglai

Funder

National Nature Science Foundation of China

Research Fund for the Doctoral Program of Higher Education of China

Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology

Program of Natural Science of Henan Provincial Education Department

Publisher

Wiley

Subject

Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/asjc.867/fullpdf

Reference33 articles.

1. Adaptive failure compensation of two-state actuators for a morphing aircraft lateral model;Tao;IEEE Trans. Control Syst.Technol.,2006

2. On the use of adaptive updating rules for actuator and sensor fault diagnosis;Wang;Automatica,1997

3. New nonlinear residual feedback observer for fault diagnosis in nonlinear systems;Narasimhan;Automatica,2008

4. Sliding mode observers for detection and reconstruction of sensor faults;Tan;Automatica,2002

5. Observer-based fault diagnosis and self-restore control for systems with measurement delays;Li;Asian J. Control,2012

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1. Neural network-based adaptive fault-tolerant control for nonlinear systems with uncertainties;ISA Transactions;2024-09

2. Fault Estimation Method for Nonlinear Time-Delay System Based on Intermediate Observer-Application on Quadrotor Unmanned Aerial Vehicle;Sensors;2022-12-20

3. Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance;Energies;2022-02-15

4. Adaptive rapid neural observer-based sensors fault diagnosis and reconstruction of quadrotor unmanned aerial vehicle;Aircraft Engineering and Aerospace Technology;2021-06-17

5. The detection of multiple faults in a Bayesian setting using dynamic programming approaches;Signal Processing;2020-10

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