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dc.contributor.authorGray, W Steven
dc.contributor.authorPham, Natalie
dc.contributor.authorSchmeding, Alexander
dc.date.accessioned2024-06-18T08:42:56Z
dc.date.available2024-06-18T08:42:56Z
dc.date.created2024-06-11T14:30:48Z
dc.date.issued2024
dc.identifier.isbn9798350369298
dc.identifier.urihttps://hdl.handle.net/11250/3134447
dc.description.abstractIn linear system theory, the commutative algebra of integrable functions under convolution does not have a unit unless one includes the Dirac delta or impulse function. In the broader context of nonlinear systems, such generalized functions or distributions have played a more limited role. One exception to this situation is the class of nonlinear input-output systems that have a Chen–Fliess series representation. In this context, a convolutional unit in the form of a distributional generating series was introduced in the literature to characterize the algebraic structures induced by system interconnections. What is missing in this earlier work, however, is a clear description of what a distributional generating series is in an analytic framework. The goal of this paper is to describe this object precisely and show how it interacts with more standard concepts in nonlinear control theory.en_US
dc.description.abstractDistributional Generating Series in Nonlinear Control Theoryen_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2024 58th Annual Conference on Information Sciences and Systems (CISS 2024)
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDistributional Generating Series in Nonlinear Control Theoryen_US
dc.title.alternativeDistributional Generating Series in Nonlinear Control Theoryen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© Copyright 2024 IEEE - All rights reserved.en_US
dc.identifier.cristin2275338
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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