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Cited by 27 publications
(16 citation statements)
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“…Moreover, the uncertainty on the center of mass due to propellant motions in the tanks makes the detection and isolation more challenging. Numerous fault diagnosis methods are applicable to this problem [3,4]. In fact, most of the model-based diagnostic techniques reported in the literature have the potential to be applied (see [5 8] for good surveys).…”
Section: Motivationmentioning
confidence: 99%
“…Moreover, the uncertainty on the center of mass due to propellant motions in the tanks makes the detection and isolation more challenging. Numerous fault diagnosis methods are applicable to this problem [3,4]. In fact, most of the model-based diagnostic techniques reported in the literature have the potential to be applied (see [5 8] for good surveys).…”
Section: Motivationmentioning
confidence: 99%
“…E©cient Global Optimization [11] uses the Kriging predictor (1) and the additional con¦dence information provided by (2) to ¦nd an (n c + 1) vector in X c at which the complex simulation should be run. This point is chosen by maximizing the Expected Improvement (EI) [8]:…”
Section: E©cient Global Optimizationmentioning
confidence: 99%
“…The sliding mode technique has been recognized as an effective means to estimate the unmeasurable states with the ability to tolerant model uncertainties. () Some studies on the sliding mode observer (SMO) can be found in the works of Tan and Edwards, Shi et al, and Menon and Edwards, and now, it is also an appealing approach of fault detection and diagnosis applied to aeronautic and aerospace engineering systems . Focusing on the HSV application, the SMO is combined with a sensor fault model and a fault diagnostic algorithm to estimate the sensor fault of a near‐space hypersonic vehicle .…”
Section: Introductionmentioning
confidence: 99%