Forward invariant cuts to simplify proofs of safety

N. Aréchiga, J. Kapinski, Jyotirmoy V. Deshmukh, André Platzer, B. Krogh
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引用次数: 5

Abstract

The use of deductive techniques, such as theorem provers, has several advantages in safety verification of hybrid systems; however, state-of-the-art theorem provers require manual intervention to handle complex systems. Furthermore, there is often a gap between the type of assistance that a theorem prover requires to make progress on a proof task and the assistance that a system designer is able to provide directly. This paper presents an extension to KeYmaera, a deductive verification tool for differential dynamic logic; the new technique allows local reasoning using system designer intuition about performance within particular modes as part of a proof task. Our approach allows the theorem prover to leverage forward invariants, discovered using numerical techniques, as part of a proof of safety. We introduce a new inference rule into the proof calculus of KeYmaera, the forward invariant cut rule, and we present a methodology to discover useful forward invariants, which are then used with the new cut rule to complete verification tasks. We demonstrate how our new approach can be used to complete verification tasks that lie out of the reach of existing automatic verification approaches using several examples, including one involving an automotive powertrain control system.
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前向不变切割简化安全性证明
使用演绎技术,如定理证明,在混合系统的安全验证中有几个优点;然而,最先进的定理证明者需要人工干预来处理复杂的系统。此外,定理证明者在证明任务中取得进展所需的帮助类型与系统设计师能够直接提供的帮助类型之间通常存在差距。本文对差分动态逻辑的演绎验证工具KeYmaera进行了扩展;新技术允许使用系统设计者对特定模式下性能的直觉进行局部推理,作为证明任务的一部分。我们的方法允许定理证明者利用前向不变量,使用数值技术发现,作为安全性证明的一部分。我们在KeYmaera的证明演算中引入了一个新的推理规则——前向不变切割规则,并提出了一种发现有用的前向不变量的方法,然后将这些前向不变量与新的切割规则一起使用来完成验证任务。我们通过几个例子,包括一个涉及汽车动力总成控制系统的例子,展示了我们的新方法如何用于完成现有自动验证方法无法完成的验证任务。
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