{"title":"参数优化使用规范的可观察实现","authors":"V. Bahrami, Mojtaba Mahmoodi, M. Nekoui","doi":"10.1109/ICCIAUTOM.2013.6912822","DOIUrl":null,"url":null,"abstract":"Optimization includes two types of structural and parametric. The parametric optimization includes classical and state-space methods. In this paper, the desired cost function is minimized by using a state-space parametric optimization method. In state-space method, canonical observable realization is used to minimize of the desired cost function. Cost function an integral quadratic performance is assumed. Finally, by using evaluated equations, two examples by using a MATLAB are simulated. The results show the efficiency of evaluated equations.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametric optimization by using a canonical observable realization\",\"authors\":\"V. Bahrami, Mojtaba Mahmoodi, M. Nekoui\",\"doi\":\"10.1109/ICCIAUTOM.2013.6912822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimization includes two types of structural and parametric. The parametric optimization includes classical and state-space methods. In this paper, the desired cost function is minimized by using a state-space parametric optimization method. In state-space method, canonical observable realization is used to minimize of the desired cost function. Cost function an integral quadratic performance is assumed. Finally, by using evaluated equations, two examples by using a MATLAB are simulated. The results show the efficiency of evaluated equations.\",\"PeriodicalId\":444883,\"journal\":{\"name\":\"The 3rd International Conference on Control, Instrumentation, and Automation\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 3rd International Conference on Control, Instrumentation, and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIAUTOM.2013.6912822\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 3rd International Conference on Control, Instrumentation, and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2013.6912822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parametric optimization by using a canonical observable realization
Optimization includes two types of structural and parametric. The parametric optimization includes classical and state-space methods. In this paper, the desired cost function is minimized by using a state-space parametric optimization method. In state-space method, canonical observable realization is used to minimize of the desired cost function. Cost function an integral quadratic performance is assumed. Finally, by using evaluated equations, two examples by using a MATLAB are simulated. The results show the efficiency of evaluated equations.
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