【精品】基于向量圖分析的迭代學(xué)習(xí)控制新算法

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1、刁/77jjj>yvj7yjZ004年3月-—白對(duì)I伽瑩抑I77IUPJ],ACTAAUTOMATICASINTCATT1ccXTCvol.JU,1NO-LMan,2004NewIterativeLearningControlAlgorithmsDD十_BasedonVectorPlotsAnaIvsTsH7XTESbpna^TJ1TIANyTp7卜旳-nrmJ亠■■鼻■鼻鼻■-a-亠#--a.ji*?鼻亠鼻鼻丄亠d丄亠-*■_』丄.鼻xa>■丿xj-XX起,1(InstituteofRadioandAutomaticControl,SouthChina

2、UmversilyofTechnologyGuangzhou510640)°(CollegeofAutomation,SouthChinaUniversityofTechnology,Guangzhou510640)(Email:adshlxie@scut.idu.cn；ausptian@scut.edu,cn).■AbstractBasedonvectorplotsanalysistthispaperresearchesthegeometricframeofiterativeJp^rmnPrnntro)mpthnrlNpw^triirtnrpcfirp

3、mtivaIpflrnino川ornritKm^iqnhfjiinprlhv^nalvrina■■■十■■?-^r-■■■■n-■■■■-^1-^丁"*H4W?玉f~M■-^r■^J-I亠丄亠亠亠亠*亠*^-Z■*-A<>丄—_<_3.專thevectorplotsofsomegeneralalgorithms*Thestructureofthenewalgorithmisdifferentfromthoseolthepresentalgorithms.Itisoffasterconvergencespeedandhigheraccuracy.Simul

4、ationsnrp^pnfprlhnrpilInQtrafpthppffprtivnnpt;^口mrl口rJvanf舁ctqcfthpnpwalomrithmr■<*.?■鼻"X-r?鼻■4JXA.A.■彳d且LA2鼻■.?丄J->鼻J■^-r*.■Xi-*-鼻鼻J亠WJ4鼻*..T**-4AA_—KeywordsIterativelearningcontrol

5、;nrnnospflhvArimotn(19R4)L1^.TTntnnew.ithn^bppnM-H"f—■■?■■*■■e■■■—分?TTJ*-f*■?-■■jr■*-*■J■■■■—*?■■■■?、—~—-jT■■J■■F.F■■developedandbecomeanactivebranchintheintelligentcontrolfieldwithapplicationscoveringmoreandmoreaspects?suchasdiscretesystems^2',generalsystems^4^?systemswitKdistr

6、ibutedpararneters^^and2-Dsystems16".ThestructuresofthealgorithmsarefccoCrP—*"廠0[八織T^l—+1丄VJVL1OV1U.VV11XLyV弓?丿HJprovedformsofthealgorithms?Thougheachofthealgorithmshasthefeatureofits+e1J^r電*f~、**tt*尸、f■**c1_ZTz~^4參_IncaiguiiniLii^diccvOiwui丄un丄meitiiin“2=H「(r)亠L(fēng)e](幾teLQ^Tl(1)■呼j

7、亠■*".■■■~■pruposeauy/Ariiuoiovi^04：?.00wecanconSiutrineinunetypeuiajgurnuins,uptunow,iterativelearningcontrolhasbeendevelopedforoveronedecade.Theremainingproblemsarewhetherthereexistbetteralgorithmsofothertypesandwhetherracomplextprlthpnrptir^lfr^marnnhpeutmhliuhprltc1nstructthpr

8、lpvplnnmpntcfitprAtivpminerV+4丄亠0丄?■亠VA基