{"title":"状态导数反馈的参数Jordan形式赋值","authors":"Jana Konigsmarkova, M. Schlegel","doi":"10.1109/PC.2015.7169732","DOIUrl":null,"url":null,"abstract":"The paper presents a new explicit and non-redundant parametrization of all state-derivative feedbacks assigning the required Jordan form to the dynamic matrix of the closed loop system. The proposed parametrization can be simply and effectively used for both numerical and symbolic calculations of the state-derivative feedbacks, and also for robust stability and robust performance optimizing.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametric Jordan form assignment by state-derivative feedback\",\"authors\":\"Jana Konigsmarkova, M. Schlegel\",\"doi\":\"10.1109/PC.2015.7169732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a new explicit and non-redundant parametrization of all state-derivative feedbacks assigning the required Jordan form to the dynamic matrix of the closed loop system. The proposed parametrization can be simply and effectively used for both numerical and symbolic calculations of the state-derivative feedbacks, and also for robust stability and robust performance optimizing.\",\"PeriodicalId\":173529,\"journal\":{\"name\":\"2015 20th International Conference on Process Control (PC)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 20th International Conference on Process Control (PC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PC.2015.7169732\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 20th International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2015.7169732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parametric Jordan form assignment by state-derivative feedback
The paper presents a new explicit and non-redundant parametrization of all state-derivative feedbacks assigning the required Jordan form to the dynamic matrix of the closed loop system. The proposed parametrization can be simply and effectively used for both numerical and symbolic calculations of the state-derivative feedbacks, and also for robust stability and robust performance optimizing.