{"title":"与植物阶数无关的参数收敛条件","authors":"D. Rhode, P. Kokotovic","doi":"10.23919/ACC.1989.4790333","DOIUrl":null,"url":null,"abstract":"A pseudogradient adaptive approach for slow adaptation is developed combining sensitivity results from the 1960's and recent developments in averaging and integral manifold methods. In this approach, the parametrization and number of parameters are not related to the plant order. Sufficient conditions for parameter convergence are developed using a-priori knowledge of a feedback system consisting of the plant and a nominal controller.","PeriodicalId":383719,"journal":{"name":"1989 American Control Conference","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Parameter Convergence Conditions Independent of Plant Order\",\"authors\":\"D. Rhode, P. Kokotovic\",\"doi\":\"10.23919/ACC.1989.4790333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A pseudogradient adaptive approach for slow adaptation is developed combining sensitivity results from the 1960's and recent developments in averaging and integral manifold methods. In this approach, the parametrization and number of parameters are not related to the plant order. Sufficient conditions for parameter convergence are developed using a-priori knowledge of a feedback system consisting of the plant and a nominal controller.\",\"PeriodicalId\":383719,\"journal\":{\"name\":\"1989 American Control Conference\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1989 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1989.4790333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1989 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1989.4790333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameter Convergence Conditions Independent of Plant Order
A pseudogradient adaptive approach for slow adaptation is developed combining sensitivity results from the 1960's and recent developments in averaging and integral manifold methods. In this approach, the parametrization and number of parameters are not related to the plant order. Sufficient conditions for parameter convergence are developed using a-priori knowledge of a feedback system consisting of the plant and a nominal controller.
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