{"title":"反馈线性化磁悬浮系统的平方和稳定性分析","authors":"Bhawna Tandon, Sukhdeep Kaur, Ashima Kalra","doi":"10.1109/ISPCC.2017.8269715","DOIUrl":null,"url":null,"abstract":"This study proposes the stability analysis of Magnetic Levitation System having a nonlinear controller, designed with feedback linearization based on the back-stepping method, using Sum of Squares (SOS) technique. The selection of Lyapunov function for nonlinear polynomial systems can be formulated as a convex optimization problem with the advancement of sum of squares method in the past few years. For this, the nonlinear systems with non-polynomial form are required to be recast into polynomial form first. This recasting results in increasing the order of the system.","PeriodicalId":142166,"journal":{"name":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Stability analysis of feedback linearized magnetic levitation system using sum-of-squares method\",\"authors\":\"Bhawna Tandon, Sukhdeep Kaur, Ashima Kalra\",\"doi\":\"10.1109/ISPCC.2017.8269715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study proposes the stability analysis of Magnetic Levitation System having a nonlinear controller, designed with feedback linearization based on the back-stepping method, using Sum of Squares (SOS) technique. The selection of Lyapunov function for nonlinear polynomial systems can be formulated as a convex optimization problem with the advancement of sum of squares method in the past few years. For this, the nonlinear systems with non-polynomial form are required to be recast into polynomial form first. This recasting results in increasing the order of the system.\",\"PeriodicalId\":142166,\"journal\":{\"name\":\"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPCC.2017.8269715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPCC.2017.8269715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stability analysis of feedback linearized magnetic levitation system using sum-of-squares method
This study proposes the stability analysis of Magnetic Levitation System having a nonlinear controller, designed with feedback linearization based on the back-stepping method, using Sum of Squares (SOS) technique. The selection of Lyapunov function for nonlinear polynomial systems can be formulated as a convex optimization problem with the advancement of sum of squares method in the past few years. For this, the nonlinear systems with non-polynomial form are required to be recast into polynomial form first. This recasting results in increasing the order of the system.