S. Biagiola, Andres Garcia, O. Agamennoni, J. Figueroa
{"title":"维纳系统的鲁棒控制:一个案例研究","authors":"S. Biagiola, Andres Garcia, O. Agamennoni, J. Figueroa","doi":"10.1109/MED.2006.328724","DOIUrl":null,"url":null,"abstract":"The robustness of a typical control scheme for Wiener systems is analyzed. Wiener systems consist of the cascade connection of a linear time invariant system and a static nonlinearity. Several approaches were reported in the literature in order to control this kind of systems. Most of these control schemes involve a transformation of the measured variable as well as the setpoint by using the inverse of the nonlinear gain. As regards the uncertainty in the Wiener model, it is usually described as a partitioned problem. The linear block is considered as a parameter-affine-dependent model. On the other hand, the nonlinear block uncertainty is analyzed as a conic-sector. The robustness evaluation is performed using mu-theory. The results are interpreted on the basis of a simulation of a pH neutralization process","PeriodicalId":347035,"journal":{"name":"2006 14th Mediterranean Conference on Control and Automation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Robust Control of Wiener Systems: A Case Study\",\"authors\":\"S. Biagiola, Andres Garcia, O. Agamennoni, J. Figueroa\",\"doi\":\"10.1109/MED.2006.328724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The robustness of a typical control scheme for Wiener systems is analyzed. Wiener systems consist of the cascade connection of a linear time invariant system and a static nonlinearity. Several approaches were reported in the literature in order to control this kind of systems. Most of these control schemes involve a transformation of the measured variable as well as the setpoint by using the inverse of the nonlinear gain. As regards the uncertainty in the Wiener model, it is usually described as a partitioned problem. The linear block is considered as a parameter-affine-dependent model. On the other hand, the nonlinear block uncertainty is analyzed as a conic-sector. The robustness evaluation is performed using mu-theory. The results are interpreted on the basis of a simulation of a pH neutralization process\",\"PeriodicalId\":347035,\"journal\":{\"name\":\"2006 14th Mediterranean Conference on Control and Automation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 14th Mediterranean Conference on Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2006.328724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 14th Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2006.328724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The robustness of a typical control scheme for Wiener systems is analyzed. Wiener systems consist of the cascade connection of a linear time invariant system and a static nonlinearity. Several approaches were reported in the literature in order to control this kind of systems. Most of these control schemes involve a transformation of the measured variable as well as the setpoint by using the inverse of the nonlinear gain. As regards the uncertainty in the Wiener model, it is usually described as a partitioned problem. The linear block is considered as a parameter-affine-dependent model. On the other hand, the nonlinear block uncertainty is analyzed as a conic-sector. The robustness evaluation is performed using mu-theory. The results are interpreted on the basis of a simulation of a pH neutralization process