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1、PARTIILEARNINGANDCONTROLCHAPTER6ADVANCESANDCHALLENGESONINTELLIGENTLEARNINGINCONTROLSYSTEMSCHING-CHIHTSAI1,KAO-SHINGHWANG2,ALANLIU3,andCHIA-FENGJUANG11DepartmentofElectricalEngineering,NationalChungHsingUniversity,Taichung,Taiwan2DepartmentofElectricalEngineering,NationalSun-Yat-SenUniversity,
2、Kaohsiung,Taiwan3DepartmentofElectricalEngineering,NationalChungChengUniversity,Taichung,Taiwan6.1INTRODUCTIONInrecentyears,atrendhasemergedinwhichtechniquesofmachinelearning,evolu-tionarycomputations,andintelligentcontrolhavebeenintegratedintoautonomoussystemsonavarietyofscalestomeettheneeds
3、ofimplementationattheangleofproducts.Manylearningmethods,suchasexpertsystems,reinforcementlearning,mimeticalgorithms,evolutionarycomputations,andsupportvectormachinesandsoon,havebeeninvestigatedbyafinitenumberofresearchers.Ontheotherhand,severalintelligentcontrolapproaches,includingfuzzycontr
4、ol,neuralnetworks,real-codedgeneticalgorithm,antcolonyoptimization(ACO),artificialimmunenetworks,andswarmintelligence,havegainedsuccessfulapplicationsinmanyengineeringfields.Inlightofthisemergingtrend,thetechnicalcommitteeonintelligentlearningincontrolsystemshasbeentimelyestablishedtopromotet
5、headvancedtheory,prac-tice,andinterdisciplinaryaspectsofintegrationofintelligentlearningandcontrolincontrolsystems.ContemporaryIssuesinSystemsScienceandEngineering,FirstEdition.EditedbyMengChuZhou,Han-XiongLiandMargotWeijnen.?2015TheInstituteofElectricalandElectronicsEngineers,Inc.Published20
6、15byJohnWiley&Sons,Inc.243244ADVANCESANDCHALLENGESONINTELLIGENTLEARNINGINCONTROLSYSTEMSAlthoughtherearemanyinterestingandemergingtechnologiesinthespecializedareaofintelligentlearningincontrolsystems,thischapterisdevotedtofoursignif-icanttechnicalareas:reinforcementlearning,evolutionarylearnin
7、gcontrol(ELC),intelligentlearningcontrol,andlearningviacase-basedreasoning(CBR).Toillus-tratehowthemainmethodsinthefourareasworkwell,mobileservicerobotsareusedthroughoutthechapterastestplatforms.Withtheseinterestingplatforms,someadvancesandch
