2011
DOI: 10.1016/j.conengprac.2011.01.003
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Derivative free filtering in hydraulic systems for fault identification

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Cited by 22 publications
(17 citation statements)
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“…The stability of dynamic error systems (15)(16)(17)(18)(19)(20) can be split into two parts including the stability of unmeasurable part (15) and the other parts (16)(17)(18)(19)(20). In the first step, the stability of the unmeasurable part (15) is considered.…”
Section: Adaptive Super-twisting Observer Designmentioning
confidence: 99%
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“…The stability of dynamic error systems (15)(16)(17)(18)(19)(20) can be split into two parts including the stability of unmeasurable part (15) and the other parts (16)(17)(18)(19)(20). In the first step, the stability of the unmeasurable part (15) is considered.…”
Section: Adaptive Super-twisting Observer Designmentioning
confidence: 99%
“…Assumption 1. The perturbation 4 (e z 2 , t), uncertainty ∆(x), and the time derivatives of nonlinear terms φ 1 (y) f 1 and φ 2 (y) f 2 , in the error dynamics (16)(17)(18)(19)(20) are bounded.…”
Section: Adaptive Super-twisting Observer Designmentioning
confidence: 99%
“…The details are presented in [7]. The main hydraulic and geometric parameters identified are given as follows:…”
Section: B System Modelmentioning
confidence: 99%
“…The details of fault identification scheme used and the results obtained are presented in [7]. For continuity, a brief introduction on the methodology is presented below.…”
Section: Fault Identificationmentioning
confidence: 99%
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