2015
DOI: 10.1115/1.4029250
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Fault Reconstruction and Accommodation in Linear Parameter-Varying Systems via Learning Unknown-Input Observers

Abstract: This paper addresses the problem of observer-based fault reconstruction and accommodation for polytopic linear parameter-varying (LPV) systems. A polytopic representation of an LPV system subject to actuator faults and external disturbances is first established; then, a novel polytopic learning unknown-input observer (LUIO) is constructed for simultaneous state estimation and robust fault reconstruction. The stability of the presented LUIO is proved using Lyapunov stability theory together with H 1 techniques.… Show more

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Cited by 12 publications
(7 citation statements)
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“…Consider a vertical takeoff and landing (VTOL) aircraft model in the vertical plane from the work of Jia et al (2015), described in LPV form as in (10), where the state vector…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Consider a vertical takeoff and landing (VTOL) aircraft model in the vertical plane from the work of Jia et al (2015), described in LPV form as in (10), where the state vector…”
Section: Simulation Resultsmentioning
confidence: 99%
“…To demonstrate the effectiveness of the developed methods, we use a VTOL aircraft model taken from [27].…”
Section: Linear Parameter Varying Modelmentioning
confidence: 99%
“…Assumption 3 For system (1), it is assumed that the linear part is observable and the non‐linear function ffalse(x,tfalse) is locally Lipschitz with respect to x)(t [19], i.e. bold-italicf(x1(t),t)bold-italicf(x2(t),t)2κx1(t)x2(t)2for all bold-italicx1)(t,bold-italicx2)(tboldRn, where κ>0 is a known Lipschitz constant. Assumption 4 The external unknown disturbance d)(tL2)[0, satisfies bold-italicdt2dfalse¯, where dfalse¯>0 is an unknown constant. Lemma 1 For any matrices with an appropriate dimension X and Y, there exists a positive definite symmetric matrix H for which the following inequality holds [24]: bold-italicXnormalTY<...>…”
Section: Problem Formulationmentioning
confidence: 99%