{"title":"对于非线性对象，传统控制器是否能正常工作以及何时能正常工作","authors":"R. Gessing","doi":"10.1109/MED.2010.5547666","DOIUrl":null,"url":null,"abstract":"It is shown that for strongly nonlinear plants taken from MATLAB Neural Network (NN) Control Systems Demos, the conventional controllers PD and P, which fulfill the demands of formulated in the paper the Criterion RD1 (Relative Degree =1), are significantly better then NN controllers appearing in these Demos. Moreover the conventional controllers operate well for significantly larger changes of the reference signal without the need of their re-tuning.","PeriodicalId":149864,"journal":{"name":"18th Mediterranean Conference on Control and Automation, MED'10","volume":"27 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Whether and when the conventional controllers may operate well with nonlinear plants\",\"authors\":\"R. Gessing\",\"doi\":\"10.1109/MED.2010.5547666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown that for strongly nonlinear plants taken from MATLAB Neural Network (NN) Control Systems Demos, the conventional controllers PD and P, which fulfill the demands of formulated in the paper the Criterion RD1 (Relative Degree =1), are significantly better then NN controllers appearing in these Demos. Moreover the conventional controllers operate well for significantly larger changes of the reference signal without the need of their re-tuning.\",\"PeriodicalId\":149864,\"journal\":{\"name\":\"18th Mediterranean Conference on Control and Automation, MED'10\",\"volume\":\"27 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th Mediterranean Conference on Control and Automation, MED'10\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2010.5547666\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th Mediterranean Conference on Control and Automation, MED'10","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2010.5547666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Whether and when the conventional controllers may operate well with nonlinear plants
It is shown that for strongly nonlinear plants taken from MATLAB Neural Network (NN) Control Systems Demos, the conventional controllers PD and P, which fulfill the demands of formulated in the paper the Criterion RD1 (Relative Degree =1), are significantly better then NN controllers appearing in these Demos. Moreover the conventional controllers operate well for significantly larger changes of the reference signal without the need of their re-tuning.
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