简介:AccordingtoaclassofnonlinearSISOdiscretesystems,thefuzzyslidingmodecontrolproblemisconsidered.BasedonTakagi-Sugenofuzzymodelmethod,afuzzymodelisdesignedtodescribethelocaldynamicperformanceofthegivennonlinearsystems.Byusingtheslidingmodecontrolapproach,theglobalcontrollerisconstructedbyintegratingallthelocalstatecontrollersandtheglobalsupervisoryslidingmodecontroller.Thetrackingproblemcanbeeasilydealtwithbytakingadvantageofthecombinedcontroller,andtherobustnessperformanceisimprovedfinally.Asimulationexampleisgiventoshowtheeffectivenessandfeasibilityofthemethodproposed.
简介:Inthispaper,anoptimalhigherorderlearningadaptivecontrolapproachisdevelopedforaclassofSISOnonlinearsystems.Thisdesignismodel-freeanddependsdirectlyonpseudo-partial-derivativesderivedon-linefromtheinputandoutputinformationofthesystem.Anovelweightedone-step-aheadcontrolcriterionfunctionisproposedforthecontrollaw.Theconvergenceanalysisshowsthattheproposedcontrollawcanguaranteetheconvergenceundertheassumptionthatthedesiredoutputisasetpoint.Simulationexamplesareprovidedfornonlinearsystemstoillustratethebetterperformanceofthehigherorderlearningadaptivecontrol.
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