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Theory and Applications of Fractional Order Systems 2016

dc.contributor.authorCaponetto, Riccardo
dc.contributor.authorTrujillo, Juan J.
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2017-07-18T11:30:19Z
dc.date.available2017-07-18T11:30:19Z
dc.date.issued2016
dc.description.abstractIn the last decades noninteger differentiation became a popular tool for modeling the complex behaviours of physical systems from diverse domains such as mechanics, electricity, chemistry, biology, and economics. Numerous studies have validated the novel perspective demonstrating fractional order models that better characterize many real-world physical systems by means of differential operators of noninteger order. The long-range temporal or spatial dependence phenomena inherent to the fractional order systems (FOS) present unique and intriguing peculiarities, not supported by their integer order counterpart, which raise exciting challenges and opportunities related to the development of modelling, control, and estimation methodologies involving fractional order dynamics.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1155/2016/7903424pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/10101
dc.language.isoengpt_PT
dc.publisherHindawi Publishing Corporationpt_PT
dc.relation.ispartofseriesMathematical Problems in Engineering;2016
dc.relation.publisherversionhttps://www.hindawi.com/journals/mpe/2016/7903424/pt_PT
dc.titleTheory and Applications of Fractional Order Systems 2016pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleMathematical Problems in Engineeringpt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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