Optimal-Feedback-Control-Foundations-Examples-and-Experimental-Results.pdf

Optimal-Feedback-Control-Foundations-Examples-and-Experimental-Results.pdf

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时间:2019-03-13

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1、JOURNALOFGUIDANCE,CONTROL,ANDDYNAMICSVol.31,No.2,March–April2008OptimalFeedbackControl:Foundations,Examples,andExperimentalResultsforaNewApproachI.MichaelRoss∗andPooyaSekhavat†NavalPostgraduateSchool,Monterey,California93943AndrewFleming‡U.S.Navy,Washington,D.C.2003andQiGong§NavalPostgraduateSchool

2、,Monterey,California93943DOI:10.2514/1.29532Typicaloptimalfeedbackcontrolsarenonsmoothfunctions.Nonsmoothcontrolsraisefundamentaltheoreticalproblemsontheexistenceanduniquenessofstatetrajectories.ManyoftheseproblemsarefrequentlyaddressedincontrolapplicationsthroughtheconceptofaFilippovsolution.Inrec

3、entyears,thesimplerconceptofasolutionhasemergedasapracticalandpowerfulmeanstoaddressthesetheoreticalissues.Inthispaper,weadvancethenotionofCarathéodory–solutionsthatstemfromtheequivalencebetweenclosed-loopandfeedbacktrajectories.Inrecognizingthatfeedbackcontrolsarenotnecessarilyclosed-formexpress

4、ions,wedevelopasamplingtheoremthatindicatesthattheLipschitzconstantofthedynamicsisafundamentalsamplingfrequency.Theseideasleadtoanewsetoffoundationsforachievingfeedbackwhereinoptimalityprinciplesareinterwoventoachievestabilityandsystemperformance,whereasthecomputationofoptimalcontrolsisatthelevelof

5、firstprinciples.WedemonstratetheseprinciplesbywayofpseudospectralmethodsbecausethesetechniquescangenerateCarathéodory–solutionsatasufficientlyfastsamplingrateevenwhenimplementedinaMATLAB®environmentrunningonlegacycomputerhardware.Tofacilitateanexpositionoftheproposedideastoawideaudience,weintroducet

6、hecoreprinciplesonlyandrelegatetheintricatedetailstonumerousrecentreferences.TheseprinciplesarethenappliedtogeneratepseudospectralfeedbackcontrolsfortheslewmaneuveringofNPSAT1,aspacecraftconceived,designed,andbuiltattheNavalPostgraduateSchoolandscheduledtobelaunchedinfall2007.I.Introductionkt;xt

7、ut2Ut;xt(2)CONSIDERtheproblemofgeneratingfeedbackcontrolsforthegeneralnonlinearsystemItiswellrecognized[1,2]thatthisisoneofthemostdifficultproblemsincontroltheory.Inthispaper,weaddtwoadditionalx_fx

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