{"title":"多项式函数非负性检验的SOS方法与Slack变量方法的比较:多变量情况","authors":"Masayuki Sato, D. Peaucelle","doi":"10.1109/ACC.2007.4282698","DOIUrl":null,"url":null,"abstract":"This note addresses the comparison between Sums-Of-Squares (SOS) approach and Slack Variable (SV) approach for the non-negativity check of multiple variable polynomial functions. In the process to compare these methods, we derive a new method of SV approach with use of multiple slack variables, which encompasses the previously proposed method of SV approach with use of a single slack variable. The obtained result is as follows: For the unbounded case, SOS approach and our new SV approach are equivalent; for the bounded case, our new SV approach is less conservative with increased number of decision variables compared to SOS approach. Several numerical examples are shown to illustrate our conclusions.","PeriodicalId":407048,"journal":{"name":"2007 European Control Conference (ECC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Comparison between SOS approach and Slack Variable approach for non-negativity check of polynomial functions: Multiple variable case\",\"authors\":\"Masayuki Sato, D. Peaucelle\",\"doi\":\"10.1109/ACC.2007.4282698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This note addresses the comparison between Sums-Of-Squares (SOS) approach and Slack Variable (SV) approach for the non-negativity check of multiple variable polynomial functions. In the process to compare these methods, we derive a new method of SV approach with use of multiple slack variables, which encompasses the previously proposed method of SV approach with use of a single slack variable. The obtained result is as follows: For the unbounded case, SOS approach and our new SV approach are equivalent; for the bounded case, our new SV approach is less conservative with increased number of decision variables compared to SOS approach. Several numerical examples are shown to illustrate our conclusions.\",\"PeriodicalId\":407048,\"journal\":{\"name\":\"2007 European Control Conference (ECC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACC.2007.4282698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.2007.4282698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison between SOS approach and Slack Variable approach for non-negativity check of polynomial functions: Multiple variable case
This note addresses the comparison between Sums-Of-Squares (SOS) approach and Slack Variable (SV) approach for the non-negativity check of multiple variable polynomial functions. In the process to compare these methods, we derive a new method of SV approach with use of multiple slack variables, which encompasses the previously proposed method of SV approach with use of a single slack variable. The obtained result is as follows: For the unbounded case, SOS approach and our new SV approach are equivalent; for the bounded case, our new SV approach is less conservative with increased number of decision variables compared to SOS approach. Several numerical examples are shown to illustrate our conclusions.