Publication:
How effective are smooth compositions in predictive control of TS fuzzy models?

Simple item page
dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorSadjadi, Ebrahim
dc.contributor.authorMenhaj, Mohammad Bagher
dc.contributor.authorGarcía Herrero, Jesús
dc.contributor.authorMolina López, José Manuel
dc.date.accessioned2021-11-03T16:36:20Z
dc.date.available2021-11-03T16:36:20Z
dc.date.issued2019-07-17
dc.description.abstractIn This Article, We Study The Structural Properties That Smooth Compositions Bring To Predictive Control Of Ts Fuzzy Models And Examine How They Affect The Uncertainties, Parameter Variations Of The System And Environmental Noises To Die Out. We Have Employed The Smoothness Structure Of Compositions To Convert The Mpc Cost Function Of Ts Fuzzy Model Of The Nonlinear Systems To An Incremental Iterative Algorithm. Hence, The Proposed Algorithm Does Not Linearize The Nonlinear Dynamics, Neither Requires Solving An Np Optimization Problem In Mpc And, Therefore, Is Very Fast And Simple. The Connectivist Identification&#8212 Mpc Approach&#8212 Can Be Employed For The Systems With The Long-Range Horizons. Therefore, The Technique Is Beneficial To The Dead-Time And Non-Minimum Phase Systems. The Stability Analysis Of The Algorithm Has Been Carried Out, And The Performance Of The Smooth Ts Fuzzy Identification&Amp -Controller Scheme To The Classical Ones Has Been Compared On A Non-Min Phase Test Problem With Different Uncertainties And Working Environments, Including (A) The Normal Working Conditions, (B) With The Additive Noises, (C) With The Parametric Changes, (D) With The Additive Time-Varying Disturbances To Demonstrate The Robust Behavior Of The Smooth Compositions.en
dc.identifier.bibliographicCitationSadjadi, E.N., Menhaj, M.B., Herrero, J.G. et al. How Effective are Smooth Compositions in Predictive Control of TS Fuzzy Models?. Int. J. Fuzzy Syst. 21, 1669–1686 (2019). https://doir.org/10.1007/s40815-019-00676-0en
dc.identifier.doihttps://doi.org/10.1007/s40815-019-00676-0
dc.identifier.issn1562-2479
dc.identifier.publicationfirstpage1669
dc.identifier.publicationissue6
dc.identifier.publicationtitleInternational Journal of Fuzzy Systemsen
dc.identifier.publicationvolume21
dc.identifier.urihttps://hdl.handle.net/10016/33527
dc.identifier.uxxiAR/0000024618
dc.language.isoengen
dc.publisherSpringeren
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otherfuzzy controlen
dc.subject.otherfuzzy if-then systems (tsk)en
dc.subject.othermodel predictive control (mpc)en
dc.subject.othersmooth compositionsen
dc.subject.othersystema identificationen
dc.subject.otherunstable systemsen
dc.titleHow effective are smooth compositions in predictive control of TS fuzzy models?en
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
howeffective_IJFS_2019_ps.pdf
Size:
797.66 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
DI - GIAA - Artículos de Revistas