{"title":"基于模板的分析和最小策略迭代","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":"{\"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}","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}
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.