{"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}
引用次数: 9
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.