a cascaded filter approach to multi-objective control

a cascaded filter approach to multi-objective control

ID:34570701

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时间:2019-03-08

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1、CascadedFilterApproachtoMulti-ObjectiveControlBryanJ.Thibodeau,StephenW.Hart,DeepakR.Karuppiahy,JohnD.Sweeney,andOliverBrockLaboratoryforPerceptualRoboticsyComputerVisionLaboratoryComputerScienceDepartmentUniversityofMassachusettsAmherstfthibodea,shart,deepak,sweeney,o

2、lig@cs.umass.eduAbstract—Inthispaperweproposeanewapproachformulti-complexconictsbetweenobjectivesthatthecontrolsystemobjectivecontrolusingacascadeofltersthatprogressivelyre-mustresolve.movescandidatecommandswhichdonotsatisfytaskconstraints.Theapproachismotivatedbyoth

3、ercontrolmethodsthatpreventII.RELATEDWORKdestructivecontrolinteractionsthroughnullspaceprojections.A.Multi-ObjectiveControlWeapplythisapproachtoapracticalleader/followertaskinwhichamobilerobotmustaddresstheconictingobjectivesofTheleader/followertaskforateamofrobotsisa

4、well-movingtoagoalpositionwhileavoidingobstaclesandkeepingknownprobleminthedomainofmulti-robotformationcon-aregionoftheworkspacewithintheeldofviewofaxedtrol[5].Tosuccessfullycompletethetask,therobotsmustcameramountedontheplatform.Weexperimentallyverifyourapproachusin

5、gtheSegwayRoboticMobilityPlatform(RMP),aavoidobstacleswhilecoordinatingtheirmotiontomain-dynamicallystable,differentialdrivemobilerobot.taincommunication.Yang[17]presentsanullspacecom-positionapproachforaddressingmultipleobjectivesinaI.INTRODUCTIONleader/followersearch

6、task.Inourtask,wedonotconsidermulti-robotcooperation,however,themulti-objectivenatureAsboththephysicalcapabilitiesofautonomousrobotsandoftheproblemremains.Otherrelatedworkincludesthethecomplexityofthetaskswedemandofthemincrease,AuRAarchitecture,developedbyArkinetal.[1]

7、whichitbecomesimperativeforsystemprogrammerstohaveacomputescontrolactionsasweighted,linearcombinationsclearandintuitiveframeworktoimplementmultipleconcur-ofnon-linearmotorschemata,andthelexicographicmethodrentbehaviors.Ingeneral,therobotmustbeabletomakeformulti-objecti

8、vedecisionmakingwhichreliesonfunctiondecisionsthatsatisfymultiple,possiblyconictingobjectivesoptimization[12].whileu

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