NonlinearModelPredictiveControl_TheoryandAlgorithms：secondedition

模型预测、自动控制领域大牛AlbertoBemporad的博士课程讲义，内容为MPC模型预测控制，讲解了MPC的基本概念，线性系统的MPC理论

MasteringPredictiveAnalyticswithR(2nd)英文无水印pdf第2版pdf转化版，非原版pdfpdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除本资源转载自网络，如有侵权，请联系上传者或csdn删除

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

BuildingPredictiveModelsinRUsingthecaretPackage

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.

RapidMiner最经典的三部教程（1）PredictiveAnalyticsandDataMining，由BalaDeshpande博士所著（2）RapidMinerDataMiningUseCasesandBusinessAnalyticsApplications，非常要的图书，在亚马逊书店上卖的非常好（3）RapidMiner-v6-user-manual，用户手册，非常全

MPC,模型预测控制，J.B.Rawlings和D.Q.Mayne所写。
这两位所站的高度和视野广度才能够写出这本优秀的教材来。
我日常以这本教材作为辅助参考书使用。

是一本介绍预测模型的书籍，，发内容非常详尽，值得推荐给大家看

BeginningHaskell;HaskellDataAnalysisCookbook;HaskellFinancialDataModelingandPredictiveAnalytics;LearningHaskellDataAnalysis;PracticalStatisticsforDataScientists;倾心收集资料,祝愿大家开心下载;

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。