2018
DOI: 10.1080/00207721.2018.1454536
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Fault detection and isolation using viability theory and interval observers

Abstract: This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the viability constraints characterisation of dynamic evolutions of complex systems under uncertainty. These methods can be used for checking the consistency between observed and predicted behaviour by using simple sets that approximate the exact set of possible behaviour (in the parameter or state space). In this paper, … Show more

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Cited by 9 publications
(3 citation statements)
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“…[21]. As discussed in the introduction, the FDI could also be implemented using viability theory as presented in [9].…”
Section: Fault Tolerant Control Problemmentioning
confidence: 99%
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“…[21]. As discussed in the introduction, the FDI could also be implemented using viability theory as presented in [9].…”
Section: Fault Tolerant Control Problemmentioning
confidence: 99%
“…The use of viability theory to fault diagnosis has already been explored by the authors [9] following similar ideas [10] but using set-invariance theory. Finding the viability theory concepts that can be used in fault tolerance evaluation is a major contribution of this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Te research on viability focuses on continuous evolution of a dynamic system within a constraint region, aiming to maintain the system state within the constraint region by describing the possible trajectories and trying to select appropriate control, which provides essential guarantee for the safe and continuous evolution of the system, making the study of viability theory of great importance. Viability theory has brought a new research approach to the safe evolution of dynamic systems, and it has now been applied to fshery ecosystems [2], renewable energy systems [3,4], robot control [5,6], and system fault detection [7].…”
Section: Introductionmentioning
confidence: 99%