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hal.structure.identifierLaboratoire d'Applications des Systèmes Tychastiques Régulés [LASTRE]
dc.contributor.authorAUBIN, Jean-Pierre
hal.structure.identifierUniversité Paris 1 Panthéon-Sorbonne [UP1]
dc.contributor.authorLUXI, Chen
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDORDAN, Olivier
dc.date.accessioned2024-04-04T02:20:48Z
dc.date.available2024-04-04T02:20:48Z
dc.date.created2013-11-28
dc.date.issued2014
dc.identifier.issn0891-2513
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189519
dc.description.abstractEnThis study is motivated by two different, yet, connected, motivations. The first one follows the observation that the classical definition of derivatives involves prospective (or forward) difference quotients, not known whenever the time is directed, at least at the macroscopic level. Actually, the available and known derivatives are retrospective (or backward). They coïncide whenever the functions are differentiable in the classical sense, but not in the case of non smooth maps, single-valued or set-valued. The later ones are used in differential inclusions (and thus, in uncertain control systems) governing evolutions in function of time and state. We follow the plea of some physicists for taking also into account the retrospective derivatives to study prospective evolutions in function of time, state and retrospective derivatives, a particular, but specific, example of historical of ''path dependent'' evolutionary systems. This is even more crucial in life sciences, in the absence of experimentation of uncertain evolutionary systems. The second motivation emerged from the study of networks with junctions (cross-roads in traffic networks, synapses in neural networks, banks in financial networks, etc.), an important feature of ''complex systems''. At each junction, the velocities of the incoming (retrospective) and outgoing (prospective) evolutions are confronted. One measure of this confrontation (''jerkiness'') is provided by the product of the retrospective and prospective velocities, negative in ''inhibitory'' junctions, positive for ''excitatory'' ones, for instance. This leads to the introduction of the ''differential connection tensor'' of two evolutions, defined as the tensor product of retrospective and prospective derivatives, which can be used for controlling evolutionary systems governing the evolutions through networks with junctions.
dc.language.isoen
dc.publisherComplex Systems Publications, Inc.
dc.subject.enTransport "
dc.subject.en" networks "
dc.subject.en" junction "
dc.subject.en" impulse "
dc.subject.en" viability "
dc.subject.en" traffic control "
dc.subject.en" jam "
dc.subject.en" celerity "
dc.subject.en" monad
dc.subject.enTransport
dc.subject.ennetworks
dc.subject.enjunction
dc.subject.enimpulse
dc.subject.enviability
dc.subject.entraffic control
dc.subject.enjam
dc.subject.encelerity
dc.subject.enmonad
dc.title.enRetro-Prospective Differential Inclusions and their Control by the Differential Connection Tensors of their Evolutions: The trendometer
dc.typeDocument de travail - Pré-publication
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.identifier.arxiv1312.2130
dc.description.sponsorshipEuropeSensitivity Analysis for Deterministic Controller Design
bordeaux.journalComplex Systems
bordeaux.page117-148
bordeaux.volume23
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue2
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00915425
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00915425v1
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