A New Adaptive RISE Feedforward Approach based on Associative Memory Neural Networks for the Control of PKMs

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dc.contributor.authorJonatan Martín Escorcia-Hernández
dc.contributor.authorHipólito Aguilar Sierra
dc.contributor.authorOmar Aguilar-Mejía
dc.contributor.authorAhmed Chemori
dc.contributor.authorJosé Humberto Arroyo Núñez
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:16:26Z
dc.date.available2026-03-22T14:16:26Z
dc.date.issued2020
dc.descriptionCitaciones: 20
dc.identifier.doi10.1007/s10846-020-01242-9
dc.identifier.urihttps://doi.org/10.1007/s10846-020-01242-9
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/45551
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.ispartofJournal of Intelligent & Robotic Systems
dc.sourceUniversidad Politécnica de Tulancingo
dc.subjectControl theory (sociology)
dc.subjectFeed forward
dc.subjectArtificial neural network
dc.subjectComputer science
dc.subjectController (irrigation)
dc.subjectFeedforward neural network
dc.subjectAdaptive control
dc.subjectParametric statistics
dc.subjectContent-addressable memory
dc.subjectNonlinear system
dc.titleA New Adaptive RISE Feedforward Approach based on Associative Memory Neural Networks for the Control of PKMs
dc.typearticle

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