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ID:14778633
大小:48.00 KB
页数:11页
时间:2018-07-30
《电气工程及其自动化毕业设计(论文)外文翻译-遗传算法在非线性模型中的应用》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、郑州航空工业管理学院英文翻译2011届电气工程及其自动化专业0706073班级题目遗传算法在非线性模型中的应用姓名学号指导教师职称副教授二О一一年三月三十日英语原文:ApplicationofGeneticProgrammingtoNonlinearModelingIntroductionIdentificationofnonlinearmodelswhicharebasedinpartatleastontheunderlyingphysicsoftherealsystempresentsmanyproblemssinceboththestructureandparametersofthemo
2、delmayneedtobedetermined.Manymethodsexistfortheestimationofparametersfrommeasuresresponsedatabutstructuralidentificationismoredifficult.Oftenatrialanderrorapproachinvolvingacombinationofexpertknowledgeandexperimentalinvestigationisadoptedtochoosebetweenanumberofcandidatemodels.Possiblestructuresared
3、educedfromengineeringknowledgeofthesystemandtheparametersofthesemodelsareestimatedfromavailableexperimentaldata.Thisprocedureistimeconsumingandsub-optimal.Automationofthisprocesswouldmeanthatamuchlargerrangeofpotentialmodelstructurecouldbeinvestigatedmorequickly.Geneticprogramming(GP)isanoptimizatio
4、nmethodwhichcanbeusedtooptimizethenonlinearstructureofadynamicsystembyautomaticallyselectingmodelstructureelementsfromadatabaseandcombiningthemoptimallytoformacompletemathematicalmodel.Geneticprogrammingworksbyemulatingnaturalevolutiontogenerateamodelstructurethatmaximizes(orminimizes)someobjectivef
5、unctioninvolvinganappropriatemeasureofthelevelofagreementbetweenthemodelandsystemresponse.Apopulationofmodelstructuresevolvesthroughmanygenerationstowardsasolutionusingcertainevolutionaryoperatorsanda“survival-of-the-fittest”selectionscheme.Theparametersofthesemodelsmaybeestimatedinaseparateandmorec
6、onventionalphaseofthecompleteidentificationprocess.ApplicationGeneticprogrammingisanestablishedtechniquewhichhasbeenappliedtoseveralnonlinearmodelingtasksincludingthedevelopmentofsignalprocessingalgorithmsandtheidentificationofchemicalprocesses.Intheidentificationofcontinuoustimesystemmodels,theappl
7、icationofablockdiagramorientedsimulationapproachtoGPoptimizationisdiscussedbyMarenbach,BettenhausenandGray,andtheissuesinvolvedintheapplicationofGPtononlinearsystemidentificationarediscussedinGray’san
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