简介：Itisveryimportanttomaintainthelevelofmeanarterialpressure(MAP).TheMAPcontrolisappliedinmanyclinicalsituations,includinglimitingbleedingduringcardiacsurgeryandpromotinghealingforpatient'spost-surgery.Thispaperpresentsafuzzycontroller-basedmultiple-modeladaptivecontrolsystemforpostoperativebloodpressuremanagement.Multiple-modeladaptivecontrol(MMAC)algorithmisusedtoidentifythepatientmodel,anditisafeasiblesystemidentificationmethodeveninthepresenceoflargenoise.Fuzzycontrol(FC)methodisusedtodesigncontrollerbank.Eachfuzzycontrollerinthecontrollerbankisinfactanonlinearproportional-integral(PI)controller,whoseproportionalgainandintegralgainareadjustedcontinuouslyaccordingtoerrorandrateofchangeoferroroftheplantoutput,resultinginbetterdynamicandstablecontrolperformancethantheregularPIcontroller,especiallywhenanonlinearprocessisinvolved.Fordemonstration,anonlinear,pulsatile-flowpatientmodelisusedforsimulation,andtheresultsshowthattheadaptivecontrolsystemcaneffectivelyhandlethechangesinpatient'sdynamicsandprovidesatisfactoryperformanceinregulationofbloodpressureofhypertensionpatients.