Set-membership identification and fault detection using a Bayesian framework

DOI10.1080/00207721.2014.948946zbMath1333.93248OpenAlexW2087732402MaRDI QIDQ2798504

Vicenç Puig, Joaquim Blesa, Rosa M. Fernández Cantí, Sebastian Tornil-Sin

Publication date: 12 April 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2117/84709

zbMATH Keywords

fault detectionlikelihood functionBayes ruleset-membership identification

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Control/observation systems with incomplete information (93C41) Identification in stochastic control theory (93E12)

Related Items (3)

Zonotope-based recursive estimation of the feasible solution set for linear static systems with additive and multiplicative uncertainties ⋮ A probabilistic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding ⋮ Fault detection and isolation using viability theory and interval observers

Uses Software

• Bolstad2

Cites Work

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• Optimality, approximation, and complexity in set membership H/sub ∞/ identification
• Probabilistically Constrained Linear Programs and Risk-Adjusted Controller Design
• Non-stationary stochastic embedding for transfer function estimation

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