Average Sentinel for a Heat Equation with Incomplete data

dc.contributor.authorBelkhiri, Chaima
dc.contributor.authorRezzoug, Imad
dc.date.accessioned2024-10-16T16:32:07Z
dc.date.available2024-10-16T16:32:07Z
dc.date.issued2024
dc.description.abstractIdentification problems consist of finding the causes of a phenomenon based on observation, and resolving this type of problem is done through experimental measurement. in this work, we propose to study a class of problems governed by a parabolic equation with incomplete data. For this purpose, we use the concept of sentinels introduced by (j. l. Lions), which is the most commonly used strategy, involving obtaining information about the causes from a weighted average of the observation. we then prove the existence of the average sentinel function by solving a zero-average controllability problem with control constraints. next, we are concerned with identifying pollution terms present in the heat equation with missing data.
dc.identifier.urihttp://dspace.univ-oeb.dz:4000/handle/123456789/19982
dc.language.isofr
dc.publisherUniversity of Oum El Bouaghi
dc.subjectAverage sentinel; Identification method; Average observability
dc.titleAverage Sentinel for a Heat Equation with Incomplete data
dc.typeOther
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