A data-driven robust fault detection method for linear systems with full-order sensors

DOI10.1007/s00034-022-02046-yzbMath1510.93067MaRDI QIDQ6045796

No author found.

Publication date: 12 May 2023

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

zbMATH Keywords

subspace identificationrobust fault detectiondata-drivenrobust conservatism

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) System identification (93B30) Linear systems in control theory (93C05) Fault detection; testing in circuits and networks (94C12) Realizations from input-output data (93B15)

Cites Work

• Unnamed Item
• Parameterization and identification of multivariable state-space systems: a canonical approach
• Subspace aided data-driven design of robust fault detection and isolation systems
• Fault detection for uncertain nonlinear systems via recursive observer and tight threshold
• Robust unknown input observer-based fault estimation of leader-follower linear multi-agent systems
• Robust Fault Detection Using Subspace Aided Data Driven Design
• Analytical redundancy and the design of robust failure detection systems
• Fault detection and isolation of electrical induction motors via LPV fault observers: A case study
• Fault detection filter design for stochastic networked control systems

This page was built for publication: A data-driven robust fault detection method for linear systems with full-order sensors