Intelligent vehicle embedded sensors fault detection and isolation using analytical redundancy and nonlinear transformations

DOI10.1155/2017/1763934zbMath1400.93234OpenAlexW2578404781WikidataQ59145577 ScholiaQ59145577MaRDI QIDQ1794132

Dominique Gruyer, Nicolas Pous, Denis Gingras

Publication date: 15 October 2018

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/1763934

zbMATH Keywords

nonlinearitydisturbancesnonlinear transformationfault detection architecturevehicle embedded sensors

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Perturbations in control/observation systems (93C73) Transformations (93B17)

Related Items (1)

Time-varying fault diagnosis for asynchronous multisensor systems based on augmented IMM and strong tracking filtering

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