Adaptive observer-based fault estimation for a class of Lipschitz nonlinear systems

• Autorzy: Oucief N. , Tadjine M. , Labiod S.

Identyfikatory

DOI

10.1515/acsc-2016-0014

• Języki publikacji: EN

Abstrakty

EN

Fault input channels represent a major challenge for observer design for fault estimation. Most works in this field assume that faults enter in such a way that the transfer functions between these faults and a number of measured outputs are strictly positive real (SPR), that is, the observer matching condition is satisfied. This paper presents a systematic approach to adaptive observer design for joint estimation of the state and faults when the SPR requirement is not verified. The proposed method deals with a class of Lipschitz nonlinear systems subjected to piecewise constant multiplicative faults. The novelty of the proposed approach is that it uses a rank condition similar to the observer matching condition to construct the adaptation law used to obtain fault estimates. The problem of finding the adaptive observer matrices is formulated as a Linear Matrix Inequality (LMI) optimization problem. The proposed scheme is tested on the nonlinear model of a single link flexible joint robot system.

Słowa kluczowe

EN

nonlinear adaptive observer; fault estimation; strictly positive real; Lipschitz systems; observer matching condition; LMI

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2016
• Tom: Vol. 26, no. 2
• Strony: 245--259
• Opis fizyczny: Bibliogr. 24 poz., wykr., wzory

Twórcy

autor

Oucief N.

• LAJ, Faculty of Science and Technology, University of Jijel BP 98 Ouled Aissa 18000, Jijel, Algeria

autor

Tadjine M.

• LCP, Departement of Electrical Engineering, ENP, Avenue Hassan Badi, BP 182, El-harrach, Algiers, Algeria

autor

Labiod S.

• LAJ, Faculty of Science and Technology, University of Jijel BP 98 Ouled Aissa 18000, Jijel, Algeria

Bibliografia

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Uwagi

EN

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę