Edition5.02010-07Industrialcommunicationnetworks–Fieldbusspecifications–Part2:Physicallayerspecificationandservicedefinition

WilliamK.Pratt(Author)ProductDetailsHardcover:720pagesPublisher:Wiley-Interscience;2edition(April1991)Language:EnglishISBN-10:0471857661ISBN-13:978-0471857662ProductDescriptionThisisarevisededitionofatextthatdescribesanimportanttechnologywithscientific,industrial,biomedical,spaceandgovernmentapplications.Muchofthenewmaterialinthisbookdealswithimageanalysis,asubjectinwhichtherehasbeenconsiderableprogressinthelastdecade.

Writtenbyanexpertinthegameindustry,ChristerEricson'snewbookisacomprehensiveguidetothecomponentsofefficientreal-timecollisiondetectionsystems.Thebookprovidesthetoolsandknow-howneededtoimplementindustrial-strengthcollisiondetectionforthehighlydetaileddynamicenvironmentsofapplicationssuchas3Dgames,virtualrealityapplications,andphysicalsimulators.Ofthemanytopicscovered,akeyfocusisonspatialandobjectpartitioningthroughawidevarietyofgrids,trees,andsortingmethods.Theauthoralsopresentsalargecollectionofintersectionanddistancetestsforbothsimpleandcomplexgeometricshapes.SectionsonvectorandmatrixalgebraprovidethebackgroundforadvancedtopicssuchasVoronoiregions,Minkowskisums,andlinearandquadraticprogramming.Ofutmostimportancetoprogrammersbutrarelydiscussedinthismuchdetailinotherbooksarethechapterscoveringnumericalandgeometricrobustness,bothessentialtopicsforcollisiondetectionsystems.Alsouniquearethechaptersdiscussinghowgraphicshardwarecanassistincollisiondetectioncomputationsandonadvancedoptimizationformoderncomputerarchitectures.Allinall,thiscomprehensivebookwillbecometheindustrystandardforyearstocome.

ExploratoryDataAnalysisUsingRprovidesaclassroom-testedintroductiontoexploratorydataanalysis(EDA)andintroducestherangeof"interesting"–good,bad,andugly–featuresthatcanbefoundindata,andwhyitisimportanttofindthem.ItalsointroducesthemechanicsofusingRtoexploreandexplaindata.Thebookbeginswithadetailedoverviewofdata,exploratoryanalysis,andR,aswellasgraphicsinR.Itthenexploresworkingwithexternaldata,linearregressionmodels,andcraftingdatastories.ThesecondpartofthebookfocusesondevelopingRprograms,includinggoodprogrammingpracticesandexamples,workingwithtextdata,andgeneralpredictivemodels.Thebookendswithachapteron"keepingitalltogether"thatincludesmanagingtheRinstallation,managingfiles,documenting,andanintroductiontoreproduciblecomputing.Thebookisdesignedforbothadvancedundergraduate,entry-levelgraduatestudents,andworkingprofessionalswithlittletonopriorexposuretodataanalysis,modeling,statistics,orprogramming.itkeepsthetreatmentrelativelynon-mathematical,eventhoughdataanalysisisaninherentlymathematicalsubject.Exercisesareincludedattheendofmostchapters,andaninstructor'ssolutionmanualisavailable.AbouttheAuthor:RonaldK.PearsonholdsthepositionofSeniorDataScientistwithGeoVera,apropertyinsurancecompanyinFairfield,California,andhehaspreviouslyheldsimilarpositionsinavarietyofapplicationareas,includingsoftwaredevelopment,drugsafetydataanalysis,andtheanalysisofindustrialprocessdata.HeholdsaPhDinElectricalEngineeringandComputerSciencefromtheMassachusettsInstituteofTechnologyandhaspublishedconferenceandjournalpapersontopicsrangingfromnonlineardynamicmodelstructureselectiontotheproblemsofdisguisedmissingdatainpredictivemodeling.Dr.Pearsonhasauthoredorco-authoredbooksincludingExploringDatainEngineeri

[此书为滑模控制国外经典教材，《SlidingModeControl:Theoryandapplication》，作者CEdwards,SSpurgeon]Intheformationofanycontrolproblemtherewillbediscrepanciesbetweentheactualplantandthemathematicalmodelforcontrollerdesign.Slidingmodecontroltheoryseekstoproducecontrollerstooversomesuchmismatches.Thistextprovidesthereaderwithagroundinginslidingmodecontrolandisappropriateforthegraduatewithabasicknowledgeofclassicalcontroltheoryandsomeknowledgeofstate-spacemethods.Fromthisbasis,moreadvancedtheoreticalresultsaredeveloped.Twoindustrialcasestudies,whichpresenttheresultsofslidingmodecontrollerimplementations,areusedtoillustratethesuccessfulpracticalapplicationtheory.

Modelpredictivecontrol(MPC)hasalonghistoryinthefieldofcontrolen-gineering.Itisoneofthefewareasthathasreceivedon-goinginterestfromresearchersinboththeindustrialandacademiccommunities.Fourmajoras-pectsofmodelpredictivecontrolmakethedesignmethodologyattractivetobothpractitionersandacademics.Thefirstaspectisthedesignformulation,whichusesacompletelymultivariablesystemframeworkwheretheperfor-manceparametersofthemultivariablecontrolsystemarerelatedtotheengi-neeringaspectsofthesystem;hence,theycanbeunderstoodand‘tuned’byengineers.Thesecondaspectistheabilityofthemethodtohandleboth‘soft’constraintsandhardconstraintsinamultivariablecontrolframework.Thisisparticularlyattractivetoindustrywheretightprofitmarginsandlimitsontheprocessoperationareinevitablypresent.Thethirdaspectistheabilitytoperformon-lineprocessoptimization.Thefourthaspectisthesimplicityofthedesignframeworkinhandlingallthesecomplexissues.Thisbookgivesanintroductiontomodelpredictivecontrol,andrecentdevelopmentsindesignandimplementation.Beginningwithanoverviewofthefield,thebookwillsystematicallycovertopicsinrecedinghorizoncon-trol,MPCdesignformulations,constrainedcontrol,Laguerre-function-basedpredictivecontrol,predictivecontrolusingexponentialdataweighting,refor-mulationofclassicalpredictivecontrol,tuningofpredictivecontrol,aswellassimulationandimplementationusingMATLABandSIMULINKasaplatform.Bothcontinuous-timeanddiscrete-timemodelpredictivecontrolispresentedinasimilarframework.

DataMining:TheTextbookBy作者:CharuC.AggarwalISBN-10书号:3319141414ISBN-13书号:9783319141411Edition版本:2015出版日期:2015-04-14pages页数:(734)$89.99Thistextbookexploresthedifferentaspectsofdataminingfromthefundamentalstothecomplexdatatypesandtheirapplications,capturingthewidediversityofproblemdomainsfordataminingissues.Itgoesbeyondthetraditionalfocusondataminingproblemstointroduceadvanceddatatypessuchastext,timeseries,discretesequences,spatialdata,graphdata,andsocialnetworks.Untilnow,nosinglebookhasaddressedallthesetopicsinacomprehensiveandintegratedway.Thechaptersofthisbookfallintooneofthreecategories:Fundamentalchapters:Datamininghasfourmainproblems,whichcorrespondtoclustering,classification,associationpatternmining,andoutlieranalysis.Thesechapterscomprehensivelydiscussawidevarietyofmethodsfortheseproblems.Domainchapters:Thesechaptersdiscussthespecificmethodsusedfordifferentdomainsofdatasuchastextdata,time-seriesdata,sequencedata,graphdata,andspatialdata.Applicationchapters:Thesechaptersstudyimportantapplicationssuchasstreammining,Webmining,ranking,recommendations,socialnetworks,andprivacypreservation.Thedomainchaptersalsohaveanappliedflavor.Appropriateforbothintroductoryandadvanceddataminingcourses,DataMining:TheTextbookbalancesmathematicaldetailsandintuition.Itcontainsthenecessarymathematicaldetailsforprofessorsandresearchers,butitispresentedinasimpleandintuitivestyletoimproveaccessibilityforstudentsandindustrialpractitioners(includingthosewithalimitedmathematicalbackground).Numerousillustrations,examples,andexercisesareincluded,withanemphasisonsemanticallyinterpretableexamples.

高清PDF电子书，关于卡尔曼滤波和小波的，经典书籍，第四版了Kalmanfilteringisanoptimalstateestimationprocessappliedtoadynamicsystemthatinvolvesrandomperturbations.Moreprecisely,theKalmanfiltergivesalinear,unbiased,andminimumerrorvariancerecursivealgorithmtooptimallyestimatetheunknownstateofadynamicsystemfromnoisydatatakenatdiscretereal-time.Ithasbeenwidelyusedinmanyareasofindustrialandgovernmentapplicationssuchasvideoandlasertrackingsystems,satellitenavigation,ballisticmissiletrajectoryestimation,radar,andfirecontrol.Withtherecentdevelopmentofhigh-speedcomputers,theKalmanfilterhasbecomemoreusefulevenforverycomplicatedreal-timeapplications.Inspiteofitsimportance,themathematicaltheoryofKalmanfilteringanditsimplicationsarenotwellunderstoodevenamongmanyappliedmathematiciansandengineers.Infact,mostpractitionersarejusttoldwhatthefilteringalgorithmsarewithoutknowingwhytheyworksowell.Oneofthemainobjectivesofthistextistodisclosethismysterybypresentingafairlythoroughdiscussionofitsmathe-maticaltheoryandapplicationstovariouselementaryreal-timeproblems

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Abstract—MotordrivetechnologiesarebeingincorporatedintotheEVandHEVautomobileswitheverincreasingspeed.Withtheoutputtorquetobethemaincontroltarget,variouscontrolalgorithmsaredevelopedthataimtoachievehightorqueaccuracywhilemaximizingthemachineenergyefficiency.Mostofsuchcontrolalgorithmsentailprocedurestocharacterizethemachineundercontrol.Thispaperdocumentsadetailed,industriallypracticalprocedureofcharacterizingthetorquelookuptableforinteriorpermanentmagnet(IPM)synchronousmachines.Thecharacterizedlookuptablecanbeutilizedinopen-looptorquecontrolalgorithms,andisverifiedtoachievehightorquecontrolaccuracyandsuitablefortorquecontrolofIPMinautomotiveapplications.

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。