{"title":"Template-based Analyses and Min-policy Iteration","authors":"P. Garoche","doi":"10.2307/j.ctv80cd4v.8","DOIUrl":null,"url":null,"abstract":"This chapter considers other configurations aside from the direct synthesis of invariants as bound templates. A first case arises when the methods shown in the previous chapter only synthesizes the template but not the bound. A second appears when one wants to analyze a system with multiple templates. This chapter looks at bounds on each variable and considers the templates 𝑝(𝑥) = 𝑥²𝑖 for each variable 𝑥𝑖 in state characterization 𝑥 ∈ Σ. The chapter thus proposes a policy iteration algorithm, based on sum-of-squares (SOS) optimization, to refine such template bounds. In practice, the chapter uses it by combining a Lyapunov-based template obtained using one of the previous methods with additional templates encoding bounds on some variables or property specific templates.","PeriodicalId":402448,"journal":{"name":"Formal Verification of Control System Software","volume":"411 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Formal Verification of Control System Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/j.ctv80cd4v.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This chapter considers other configurations aside from the direct synthesis of invariants as bound templates. A first case arises when the methods shown in the previous chapter only synthesizes the template but not the bound. A second appears when one wants to analyze a system with multiple templates. This chapter looks at bounds on each variable and considers the templates 𝑝(𝑥) = 𝑥²𝑖 for each variable 𝑥𝑖 in state characterization 𝑥 ∈ Σ. The chapter thus proposes a policy iteration algorithm, based on sum-of-squares (SOS) optimization, to refine such template bounds. In practice, the chapter uses it by combining a Lyapunov-based template obtained using one of the previous methods with additional templates encoding bounds on some variables or property specific templates.