2001 European Control Conference (ECC) 2001
DOI: 10.23919/ecc.2001.7076274
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An algebraic and data derivative information approach to nonlinear system diagnosis

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Cited by 29 publications
(29 citation statements)
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“…& Remark 3. Theorem 2, provides a non-systematic way to determine the diagnosability of a class of nonlinear systems described by (9). Moreover, the proof gives the necessary number of outputs or sensors ðmÞ needed to construct the differential algebraic equation associated to the fault.…”
Section: On the Minimal Number Of Measurementsmentioning
confidence: 98%
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“…& Remark 3. Theorem 2, provides a non-systematic way to determine the diagnosability of a class of nonlinear systems described by (9). Moreover, the proof gives the necessary number of outputs or sensors ðmÞ needed to construct the differential algebraic equation associated to the fault.…”
Section: On the Minimal Number Of Measurementsmentioning
confidence: 98%
“…In the next paragraphs some concepts concerning to the diagnosability problem will be presented [9,10].…”
Section: On the Diagnosability Conditionmentioning
confidence: 99%
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“…Before proposing the exponential polynomial observer, a definition concerning on algebraic observability condition is given (for more details see [28]). Definition 1.…”
Section: A Note On Algebraic Observability Condition (Aoc)mentioning
confidence: 99%
“…Some model-based approaches can be found, as the approaches based upon differential geometric methods [4][5]. On the other hand there are approaches proposed in an algebraic and differential framework [6][7][8][9][10][11][12][13][14]. These approaches consist in the observation of the dynamics of the fault variables, which are defined as uncertain inputs [15].…”
Section: Introductionmentioning
confidence: 99%