簡介:玉林師范學(xué)院本科生畢業(yè)論文(設(shè)計)小型酒店管理系統(tǒng)的設(shè)計與開發(fā)THEDESIGNANDDEVELOPOFTHESMALLHOTELMANAGEMENTSYSTEM院系數(shù)學(xué)與計算機科學(xué)系專業(yè)計算機科學(xué)與技術(shù)班級2008級(專升本)姓名劉芳學(xué)號200804202101指導(dǎo)教師單位數(shù)學(xué)與計算機科學(xué)系數(shù)學(xué)與計算機科學(xué)系指導(dǎo)教師姓名周培春指導(dǎo)教師職稱講師THEDESIGNOFTHESMALLHOTELMANAGEMENTSYSTEMCOMPUTERSCIENCEANDTECHNOLOGY20082008LIUFANGSUPERVISORZHOUPEICHUNABSTRACTATPRESENT,THESMALLHOTEL’SCATEGORYFLOWSWITHINCREASINGOFTHEGUESTSCONTINUOUSLY,RESULTEDINTHEDIFFICULTYTOTHEMANAGEMENTUSINGTHECOMPUTERTOMANAGETHEHOTELANDTHERESIDENTINFORMATION,ENHANCEDTHEINQUIRYSPEED,SAVEDTHEWORKFORCEANDTHERESOURCESANDHASMETTHEANTICIPATEDREQUIREMENTSINTHISSYSTEM,WEDESIGNSTHESMALLHOTELMANAGEMENTSYSTEMWHICHACCORDSTOTHEPRESENTSITUATIONOFTHESMALLHOTELSERVICEMANAGEMENTANDTHEWAYITDEVELOPSINTHEFUTUREANDSMALLHOTELMANAGEMENTSTUDYPRACTICETHISSYSTEMISASOFTWAREWHICHISUSEDFORTHESMALLHOTELSERVICEMANAGEMENTTHEMANAGEMENTOFTHESYSTEMDATAUSESTHEOPERATINGSYSTEMNEWESTMANAGEMENTMETHOD,SOTHEUSEROPERATIONWILLBESIMPLERTHEVARIOUSBUSINESSMANAGEMENTMODULESINTHISSYSTEMMAYRUNSINDEPENDENTLYTHESEADVANTAGESCANINCREASETHEBIGGESTEFFICIENCYOFTHEGUESTHOUSEMANAGEMENT,ISALSOAGUESTHOUSETOSERVESCIENTIFICANDREGULARTOTURNTHETERMOFTHEMANAGEMENTTHISSYSTEMMAYMAKEFULLUSEOFINFORMATIONTECHNOLOGYTOINCREASETHEMANAGEMENTLEVEL,SERVICELEVELOFTHEHOTELTHESYSTEMWILLREALIZETHEFUNCTIONSUCHASTHELODGINGSREGISTRATION,THELODGINGALLOWANCEREMINDER,SUPPLEMENTSTHEDEPOSIT,THEACCENTROOMREGISTRATION,RETURNSAHOUSETIESTHEACCOUNT,INQUIRYSTATISTICSTHEDYNAMICREALTIMELODGINGSREGISTRATION,THEGUESTROOMADJUSTMENT,THESALESREPORTFORM,WILLSUPPLEMENTTHEDEPOSITANDSOONORGANICALLYTORELATEINTOGETHER,WILLCARRYONTHEMANAGEMENTWELLTOTHESMALLHOTEL’SROOMKEYWORDSHOTELMANAGEMENTSYSTEMVBACCESS2003DATABASE
下載積分: 8 賞幣
上傳時間:2024-03-16
頁數(shù): 36
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簡介:SAMPLEDDATAMODELPREDICTIVECONTROLFORNONLINEARTIMEVARYINGSYSTEMSSTABILITYANDROBUSTNESS?FERNANDOACCFONTES1,LALOMAGNI2,AND′EVAGYURKOVICS31OFFICINAMATHEMATICA,DEPARTAMENTODEMATEM′ATICAPARAACI?ENCIAETECNOLOGIA,UNIVERSIDADEDOMINHO,4800058GUIMAR?AES,PORTUGALFFONTESMCTUMINHOPT2DIPARTIMENTODIINFORMATICAESISTIMISTICA,UNIVERSITADEGLISTUDIDIPAVIA,VIAFERRATA1,27100PAVIA,ITALYLALOMAGNIUNIPVIT3BUDAPESTUNIVERSITYOFTECHNOLOGYANDECONOMICS,INSTITUTEOFMATHEMATICS,BUDAPESTH1521,HUNGARYGYEMATHBMEHUSUMMARYWEDESCRIBEHEREASAMPLEDDATAMODELPREDICTIVECONTROLFRAMEWORKTHATUSESCONTINUOUSTIMEMODELSBUTTHESAMPLINGOFTHEACTUALSTATEOFTHEPLANTASWELLASTHECOMPUTATIONOFTHECONTROLLAWS,ARECARRIEDOUTATDISCRETEINSTANTSOFTIMETHISFRAMEWORKCANADDRESSAVERYLARGECLASSOFSYSTEMS,NONLINEAR,TIMEVARYING,ANDNONHOLONOMICASINMANYOTHERSSAMPLEDDATAMODELPREDICTIVECONTROLSCHEMES,BARBALAT’SLEMMAHASANIMPORTANTROLEINTHEPROOFOFNOMINALSTABILITYRESULTSITISARGUEDTHATTHEGENERALIZATIONOFBARBALAT’SLEMMA,DESCRIBEDHERE,CANHAVEALSOASIMILARROLEINTHEPROOFOFROBUSTSTABILITYRESULTS,ALLOWINGALSOTOADDRESSAVERYGENERALCLASSOFNONLINEAR,TIMEVARYING,NONHOLONOMICSYSTEMS,SUBJECTTODISTURBANCESTHEPOSSIBILITYOFTHEFRAMEWORKTOACCOMMODATEDISCONTINUOUSFEEDBACKSISESSENTIALTOACHIEVEBOTHNOMINALSTABILITYANDROBUSTSTABILITYFORSUCHGENERALCLASSESOFSYSTEMS1INTRODUCTIONMANYMODELPREDICTIVECONTROLMPCSCHEMESDESCRIBEDINTHELITERATUREUSECONTINUOUSTIMEMODELSANDSAMPLETHESTATEOFTHEPLANTATDISCRETEINSTANTSOFTIMESEEEG3,7,9,13ANDALSO6THEREAREMANYADVANTAGESINCONSIDERINGACONTINUOUSTIMEMODELFORTHEPLANTNEVERTHELESS,ANYIMPLEMENTABLEMPCSCHEMECANONLYMEASURETHESTATEANDSOLVEANOPTIMIZATIONPROBLEMATDISCRETEINSTANTSOFTIMEINALLTHEREFERENCESCITEDABOVE,BARBALAT’SLEMMA,ORAMODIFICATIONOFIT,ISUSEDASANIMPORTANTSTEPTOPROVESTABILITYOFTHEMPCSCHEMESBARBALAT’S?THEFINANCIALSUPPORTFROMMURSTPROJECT“NEWTECHNIQUESFORTHEIDENTIFICATIONANDADAPTIVECONTROLOFINDUSTRIALSYSTEMS”,FROMFCTPROJECTPOCTI/MAT/61842/2004,ANDFROMTHEHUNGARIANNATIONALSCIENCEFOUNDATIONFORSCIENTIFICRESEARCHGRANTNOT037491ISGRATEFULLYACKNOWLEDGEDRFINDEISENETALEDSASSESSMENTANDFUTUREDIRECTIONS,LNCIS358,PP115–129,2007SPRINGERLINKCOMC?SPRINGERVERLAGBERLINHEIDELBERG2007SAMPLEDDATAMPCFORNONLINEARTIMEVARYINGSYSTEMS117ATTIMET0,AGIVENFUNCTIONFIRIRNIRM→IRN,ANDASETU?IRMOFPOSSIBLECONTROLVALUESWEASSUMETHISSYSTEMTOBEASYMPTOTICALLYCONTROLLABLEONX0ANDTHATFORALLT≥0FT,0,00WEFURTHERASSUMETHATTHEFUNCTIONFISCONTINUOUSANDLOCALLYLIPSCHITZWITHRESPECTTOTHESECONDARGUMENTTHECONSTRUCTIONOFTHEFEEDBACKLAWISACCOMPLISHEDBYUSINGASAMPLEDDATAMPCSTRATEGYCONSIDERASEQUENCEOFSAMPLINGINSTANTSΠ{TI}I≥0WITHACONSTANTINTERSAMPLINGTIMEΔ0SUCHTHATTI1TIΔFORALLI≥0CONSIDERALSOTHECONTROLHORIZONANDPREDICTIVEHORIZON,TCANDTP,WITHTP≥TCΔ,ANDANAUXILIARYCONTROLLAWKAUXIRIRN→IRMTHEFEEDBACKCONTROLISOBTAINEDBYREPEATEDLYSOLVINGONLINEOPENLOOPOPTIMALCONTROLPROBLEMSPTI,XTI,TC,TPATEACHSAMPLINGINSTANTTI∈Π,EVERYTIMEUSINGTHECURRENTMEASUREOFTHESTATEOFTHEPLANTXTIPT,XT,TC,TPMINIMIZETTP?TLS,XS,USDSWTTP,XTTP,2SUBJECTTO˙XSFS,XS,USAES∈T,TTP,3XTXT,XS∈XFORALLS∈T,TTP,US∈UAES∈T,TTC,USKAUXS,XSAES∈TTC,TTP,XTTP∈S4NOTETHATINTHEINTERVALTTC,TTPTHECONTROLVALUEISSELECTEDFROMASINGLETONANDTHEREFORETHEOPTIMIZATIONDECISIONSAREALLCARRIEDOUTINTHEINTERVALT,TTCWITHTHEEXPECTEDBENEFITSINTHECOMPUTATIONALTIMETHENOTATIONADOPTEDHEREISASFOLLOWSTHEVARIABLETREPRESENTSREALTIMEWHILEWERESERVESTODENOTETHETIMEVARIABLEUSEDINTHEPREDICTIONMODELTHEVECTORXTDENOTESTHEACTUALSTATEOFTHEPLANTMEASUREDATTIMETTHEPROCESSX,UISAPAIRTRAJECTORY/CONTROLOBTAINEDFROMTHEMODELOFTHESYSTEMTHETRAJECTORYISSOMETIMESDENOTEDASS?→XST,XT,UWHENWEWANTTOMAKEEXPLICITTHEDEPENDENCEONTHEINITIALTIME,INITIALSTATE,ANDCONTROLFUNCTIONTHEPAIRˉX,ˉUDENOTESOUROPTIMALSOLUTIONTOANOPENLOOPOPTIMALCONTROLPROBLEMTHEPROCESSX?,U?ISTHECLOSEDLOOPTRAJECTORYANDCONTROLRESULTINGFROMTHEMPCSTRATEGYWECALLDESIGNPARAMETERSTHEVARIABLESPRESENTINTHEOPENLOOPOPTIMALCONTROLPROBLEMTHATARENOTFROMTHESYSTEMMODELIEVARIABLESWEAREABLETOCHOOSETHESECOMPRISETHECONTROLHORIZONTC,THEPREDICTIONHORIZONTP,THERUNNINGCOSTANDTERMINALCOSTSFUNCTIONSLANDW,THEAUXILIARYCONTROLLAWKAUX,ANDTHETERMINALCONSTRAINTSETS?IRN
下載積分: 10 賞幣
上傳時間:2024-03-13
頁數(shù): 15
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