Robust model-based fault detection and isolation for nonlinear processes using sliding modes

DOI10.1002/rnc.1807zbMath1244.93058OpenAlexW1569513922MaRDI QIDQ2903979

Edgar, Thomas F., Benito Fernandez, Ivan Castillo

Publication date: 4 August 2012

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.1807

zbMATH Keywords

parameter estimationnonlinear systemsrobust observerstatistical analysissliding modesbounded uncertaintiesnonlinear fault detection and isolation (FDI)

Mathematics Subject Classification ID

Design techniques (robust design, computer-aided design, etc.) (93B51) Variable structure systems (93B12) Fault detection; testing in circuits and networks (94C12)

Related Items (3)

Robust Sliding Mode Observer based Fault Estimation for Certain Class of Uncertain Nonlinear Systems ⋮ Fault detection and isolation design for uncertain nonlinear systems based on full-order, reduced-order and high-order high-gain sliding-mode observers ⋮ Design of sliding mode controller for sensor/actuator fault with unknown input observer for satellite control system

Cites Work

• Reconstruction-based contribution for process monitoring
• Supervisory fault tolerant control for a class of uncertain nonlinear systems
• Fault diagnosis of machines via parameter estimation and knowledge processing. -- Tutorial paper
• Isolation and handling of actuator faults in nonlinear systems
• Fault-tolerant control of nonlinear processes: performance-based reconfiguration and robustness
• Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems
• An alternative motivation for the indirect approach to closed-loop identification
• On the robust fault detection via a sliding mode disturbance observer

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