简介：Thispaperpointsoutthatsynchronizationofhyperchaosmaybeachievedbyanonlinearfeedbackwithoutdecomposingtheoriginalsystem.ItappliestheideastoRosslersystem,anddiscussesseveralformsofnonlinearfeedbachbyLyapunovfunctionandnumericalcalculation.

简介：WeproposeanewmethodforfindingthelocaloptimalpointsoftheconstrainednonlinearprogrammingbyOrdinaryDifferentialEquations(ODE),andproveasymptoticasymptoticstabilityofthesingularpointsofpartialvariablesinthispaper.Theconditionofoveralluniform,asymptoticstabilityisalsogiven.

简介：Onthebasisofthetechniquesofsingularvaluedecompositionandgeneralizedinverse,twonewmethodsfordesigningassociativememoriesarepresented.Thetwomethodsnotonlyguaranteethateachgivenvectorisanequilibriumpointofthenetwork,butalsoguaranteetheasymptoticstabilityoftheequilibriumpoints.Examplesshowtheeffectivenessofthenewmethods.

简介：Ahybridsystemofthefuzzyc-means(FCM)clusteringalgorithmandadaptive-two-stagelinearapproximationwaspresentedfornonlineardistortioncancellationofradiofrequency(RF)poweramplifier(PA).Thismechanismcaneffectivelyeliminatenoise,adaptivelymodelPA’sinstantaneouschange,andefficientlycorrectnonlineardistortion.ThisarticleputsforwardtheFCMclusteringalgorithmforclusteringreceivedsignalstoeliminatewhitenoise,andthenusestheadaptive-two-stagelinearapproximationtofittheinversefunctionoftheamplitude’sandphase’snonlinearmappingduringthetrainingphase.Parametersofthelinearfunctionandsimilarityfunctionaretrainedusingthegradient-descentandminimummean-squareerrorcriteria.Theproposedapproach’strainingresultsisdirectlyemployedtoeliminatesamplingsignal’snonlineardistortion.Thishybridmethodisrealizedeasierthanthemulti-segmentlinearapproximationandcouldreducethereceivedsignal’sbiterrorrate(BER)moreefficiently.