Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/7028
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dc.contributor.authorTar, József K.-
dc.contributor.authorRudas, Imre J.-
dc.contributor.authorBitó, János F.-
dc.contributor.authorMachado, J. A. Tenreiro-
dc.date.accessioned2015-11-30T15:36:02Z-
dc.date.available2015-11-30T15:36:02Z-
dc.date.issued2004-
dc.identifier.isbn978-3866080522-
dc.identifier.urihttp://hdl.handle.net/10400.22/7028-
dc.description.abstractA novel control technique is investigated in the adaptive control of a typical paradigm, an approximately and partially modeled cart plus double pendulum system. In contrast to the traditional approaches that try to build up ”complete” and ”permanent” system models it develops ”temporal” and ”partial” ones that are valid only in the actual dynamic environment of the system, that is only within some ”spatio-temporal vicinity” of the actual observations. This technique was investigated for various physical systems via ”preliminary” simulations integrating by the simplest 1st order finite element approach for the time domain. In 2004 INRIA issued its SCILAB 3.0 and its improved numerical simulation tool ”Scicos” making it possible to generate ”professional”, ”convenient”, and accurate simulations. The basic principles of the adaptive control, the typical tools available in Scicos, and others developed by the authors, as well as the improved simulation results and conclusions are presented in the contribution.pt_PT
dc.language.isoengpt_PT
dc.relation.ispartofseriesIntelligent systems at the Service of Mankind;Vol. 2-
dc.rightsclosedAccesspt_PT
dc.titleImproved Numerical Simulation for a Novel Adaptive Control Using Fractional Order Derivativespt_PT
dc.typebookPartpt_PT
degois.publication.firstPage283pt_PT
degois.publication.lastPage294pt_PT
degois.publication.titleIntelligent systems at the Service of Mankindpt_PT
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