2019
DOI: 10.1049/iet-cta.2018.5876
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Fault detection for fractional‐order linear systems in finite frequency domains

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Cited by 5 publications
(4 citation statements)
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“…The condition can be easily proved by pre-and postmultiplying (34) with [I  T ] and [I  T ] T . Since T ΔA(k) follows Assumption 3.1, the inequation (34) can be rewritten as:…”
Section: The Fdo Design Methodsmentioning
confidence: 99%
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“…The condition can be easily proved by pre-and postmultiplying (34) with [I  T ] and [I  T ] T . Since T ΔA(k) follows Assumption 3.1, the inequation (34) can be rewritten as:…”
Section: The Fdo Design Methodsmentioning
confidence: 99%
“…Note that since faults usually emerge in a specified range, designing a finite-frequency range FDO has proven helpful in reducing conservativeness [30][31][32]. Recently, based on the generalized Kalman-Yakubovich-Popv (GKYP) Lemma [33], the finite frequency range H ∞ and H − ∕H ∞ optimization problems have been formulated for many applications [11,32,34,35], for instance, in the presence of unknown inputs, the state estimation problem [35] and the fault detection filter design problem [32] have been studied for the T-S systems. It should be pointed out that since the DPRSS operates in a harsh drilling environment, parameter uncertainties, neglected dynamics, measurement disturbances, and unknown inputs are inevitable.…”
Section: Introductionmentioning
confidence: 99%
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“…[21][22][23] However, all the aforementioned papers are devoted to designing FD methods for MJ systems in full frequency domain. In fact, the fault signal existing in the actual physical system usually has a specific frequency domain, 24 which is ignored in References 21-23. Luckily, generalized Kalman-Yakubovich-Popov (GKYP) lemma opens the door for the investigation of finite frequency FD problems by transforming various performances in finite frequency interval into feasible linear matrix inequality (LMI) conditions.…”
Section: Introductionmentioning
confidence: 99%