Fault detection in nonlinear systems via linear methods

DOI10.1515/amcs-2017-0019zbMath1367.93104OpenAlexW2735466230MaRDI QIDQ2011894

Alexey Suvorov, Sergey Solyanik, A. Ye. Shumskij, Alexey Zhirabok

Publication date: 27 July 2017

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/amcs-2017-0019

zbMATH Keywords

robustnessnonlinear dynamic systemslogic-dynamic approachnon-differentiable nonlinearitiesdiagnostic observers

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Observability (93B07) Basic linear algebra (15A99)

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Diagnosis of linear dynamic systems: an approach based on sliding mode observers, Identification of faults in nonlinear dynamical systems and their sensors based on sliding mode observers, Reconfiguration of Nonlinear Faulty Systems via Linear Methods, Fault identification in mobile robot groups using sliding mode observers, Fault identification in underwater vehicle thrusters via sliding mode observers, Fault identification in nonlinear hybrid systems, Fault diagnosis in nonlinear hybrid systems, Fault diagnosis in linear systems via sliding mode observers, Disturbance decoupling problem: logic-dynamic approach-based solution, Sliding mode observers for fault identification in linear systems not satisfying matching and minimum phase conditions, Fault identification in nonlinear dynamic systems not satisfying matching, minimum phase, and detectability conditions

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