Neural observer‐based small fault detection and isolation for uncertain nonlinear systems

DOI10.1002/acs.3105zbMath1467.93119OpenAlexW3008994536MaRDI QIDQ5000704

Abdelkader Krifa, Noureddine Liouane, Walid Abid

Publication date: 15 July 2021

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.3105

zbMATH Keywords

filteringfault detection and isolationnonlinear observerslearning systemssmall faults

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Observers (93B53)

Related Items (1)

Fault diagnosis for a class of nonlinear uncertain systems using deterministic learning approach

Cites Work

• Small oscillation fault detection for a class of nonlinear systems with output measurements using deterministic learning
• Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation
• A robust nonlinear observer-based approach for distributed fault detection of input-output interconnected systems
• Robust actuator fault diagnosis scheme for satellite attitude control systems
• Existence and design of observers for nonlinear systems: Relation to distance to unobservability
• Actuator and sensor fault detection and isolation for nonlinear systems subject to uncertainty
• Sensor Bias Fault Detection and Isolation in a Class of Nonlinear Uncertain Systems Using Adaptive Estimation
• Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach
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