Hybrid Methods for Detection and Identification of Faults in Dynamic Systems

DOI10.1002/asjc.1039zbMath1333.93059OpenAlexW1760495195MaRDI QIDQ2794013

Marcelo R. B. G. Vale, R. S. Martins, A. L. Maitelli

Publication date: 17 March 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1039

zbMATH Keywords

mean squared errordecision treesstate observerfault detection and identification (FDI)

Mathematics Subject Classification ID

System identification (93B30) Observability (93B07) Control/observation systems governed by ordinary differential equations (93C15)

Cites Work

• Detecting changes in signals and systems - a survey
• \(\mathcal{H}_-/\mathcal{H}_\infty \) fault detection filter design for discrete-time Takagi-Sugeno fuzzy system
• \(H_\infty \) model reduction for uncertain switched linear discrete-time systems
• Multi-objectiveH₋ ∕ H_∞fault detection observer design for Takagi-Sugeno fuzzy systems with unmeasurable premise variables: descriptor approach
• $l_{2}-l_{\infty}$ Model Reduction for Switched LPV Systems With Average Dwell Time

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