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dc.contributor.authorKeliris, Christodoulosen
dc.contributor.authorPolycarpou, Marios M.en
dc.contributor.authorParisini, Thomasen
dc.creatorKeliris, Christodoulosen
dc.creatorPolycarpou, Marios M.en
dc.creatorParisini, Thomasen
dc.description.abstractThis paper presents an adaptive sensor fault diagnosis and accommodation scheme for multiple sensor bias faults for a class of input-output nonlinear systems subject to modeling uncertainty and measurement noise. The proposed scheme consists of a nonlinear estimation model that includes an adaptive component which is initiated upon the detection of a fault, in order to approximate the magnitude of the bias faults. A detectability condition characterizing the class of detectable sensor bias faults is derived and the robustness and stability properties of the adaptive scheme are presented. The estimation of the magnitude of the sensor bias faults allows the identification of the faulty sensors and it is also used for fault accommodation purposes. The effectiveness of the proposed scheme is demonstrated through a simulation example.en
dc.source2018 IEEE Conference on Decision and Control (CDC)en
dc.titleAn Adaptive Approach to Sensor Bias Fault Diagnosis and Accommodation for a Class of Input-Output Nonlinear Systemsen
dc.description.endingpage6339Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidPolycarpou, Marios M. [0000-0001-6495-9171]

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