基于模板的分析和最小策略迭代

P. Garoche
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引用次数: 0

摘要

除了将不变量直接合成为绑定模板之外,本章还考虑了其他配置。第一种情况出现在前一章中展示的方法只合成模板而不合成绑定时。当需要分析具有多个模板的系统时,就会出现第二个模板。本章考察每个变量界限和考虑模板𝑝‎(𝑥‎)=𝑥²‎𝑖为每个变量𝑥‎‎𝑖‎状态表征𝑥‎∈‎Σ‎。因此,本章提出了一种基于平方和(SOS)优化的策略迭代算法来细化模板边界。在实践中,本章通过将使用前面方法之一获得的基于lyapunov的模板与一些变量或属性特定模板的附加模板编码边界相结合来使用它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Template-based Analyses and Min-policy Iteration
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.
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