Adaptive neural network control of nonlinear systems with unknown time delays

Adaptive neural network control of nonlinear systems with unknown time delays

ID:46774510

大小:416.70 KB

頁數(shù):7頁

時間:2019-11-27

Adaptive neural network control of nonlinear systems with unknown time delays_第1頁
Adaptive neural network control of nonlinear systems with unknown time delays_第2頁
Adaptive neural network control of nonlinear systems with unknown time delays_第3頁
Adaptive neural network control of nonlinear systems with unknown time delays_第4頁
Adaptive neural network control of nonlinear systems with unknown time delays_第5頁
資源描述:

《Adaptive neural network control of nonlinear systems with unknown time delays》由會員上傳分享,免費在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫

1、2004IEEETRANSACTIONSONAUTOMATICCONTROL,VOL.48,NO.11,NOVEMBER2003[18]O.J.M.Smith,“Closercontrolofloopswithdeadtime,”Chem.Eng.[13],thesystemconsideredwasaclassofnonlineartime-delaysystemsProgr.,vol.53,no.5,pp.217–219,1957.withaso-called“triangularstructure”,whichwaslatercommentedthat[19]M.Mor

2、ariandE.Zafiriou,RobustProcessControl.UpperSaddleitcouldnotbe“constructivelyobtained”in[14].TheuncertaintiesfromRiver,NJ:Prentice-Hall,1989.[20]L.Mirkin,“Aredistributed-delaycontrollawsintrinsicallyunapprox-unknownparametersorunknownnonlinearfunctionsareyettobedis-imable?,”presentedatthe4th

3、IFACWorkshopTimeDelaySystems,cussed,especiallywhenthevirtualcontrolcoefficientsareunknownRocquencourt,France,2003.nonlinearfunctionsofstateswithknownsigns.Withtheaidofneural[21]C.N.Nett,C.A.Jacobson,andM.J.Balas,“Aconnectionbetweennetworksparameterization,stablecontrollershavebeenconstructe

4、dinstate-spaceanddoublycoprimefractionalrepresentations,”IEEETrans.[15]and[16](tonamejustafew)andafamilyofnovelintegralLya-Automat.Contr.,vol.AC-29,pp.831–832,Sept.1984.punovfunctionshavebeendevelopedin[17]and[18]toavoidcon-trollersingularityproblemcommonlyencounteredinadaptivefeed-backline

5、arizationcontrol.Inthisnote,wepresentanadaptiveneuralcontrollerforaclassofstrict-feedbacknonlinearsystemswithunknowntimedelaysandunknownvirtualcontrolcoefficients.BothintegralfunctionsandAdaptiveNeuralNetworkControlofNonlinearSystemsLyaponov–KrasovskiifunctionalsareusedtoconstructtheLyapuno

6、vWithUnknownTimeDelaysfunctioncandidatessuchthatthecontrollersingularityproblemisShuzhiSamGe,FanHong,andTongHengLeeavoidedandtheuncertaintiesfromunknowntimedelaysareremoved.Semigloballyuniformlyultimateboundedness(SGUUB)ofallthesignalsintheclosed-loopsystemcanbeguaranteedandthecontrolAbstra

7、ct—Inthisnote,adaptiveneuralcontrolispresentedforaclassperformancecanbeimprovedbyappropriatelychoosingthedesignofstrict-feedbacknonlinearsystemswithunknowntimedelays.Usingap-parameters.TheproposedmethodexpandstheclassofnonlinearpropriateLyapunov–Krasovsk

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學(xué)公式或PPT動畫的文件,查看預(yù)覽時可能會顯示錯亂或異常,文件下載后無此問題,請放心下載。
2. 本文檔由用戶上傳,版權(quán)歸屬用戶,天天文庫負責(zé)整理代發(fā)布。如果您對本文檔版權(quán)有爭議請及時聯(lián)系客服。
3. 下載前請仔細閱讀文檔內(nèi)容,確認文檔內(nèi)容符合您的需求后進行下載,若出現(xiàn)內(nèi)容與標題不符可向本站投訴處理。
4. 下載文檔時可能由于網(wǎng)絡(luò)波動等原因無法下載或下載錯誤,付費完成后未能成功下載的用戶請聯(lián)系客服處理。