Pegasus: sound continuous invariant generation

Author:

Sogokon AndrewORCID,Mitsch StefanORCID,Tan Yong KiamORCID,Cordwell KatherineORCID,Platzer AndréORCID

Abstract

AbstractContinuous invariants are an important component in deductive verification of hybrid and continuous systems. Just like discrete invariants are used to reason about correctness in discrete systems without having to unroll their loops, continuous invariants are used to reason about differential equations without having to solve them. Automatic generation of continuous invariants remains one of the biggest practical challenges to the automation of formal proofs of safety for hybrid systems. There are at present many disparate methods available for generating continuous invariants; however, this wealth of diverse techniques presents a number of challenges, with different methods having different strengths and weaknesses. To address some of these challenges, we develop Pegasus: an automatic continuous invariant generator which allows for combinations of various methods, and integrate it with the KeYmaera X theorem prover for hybrid systems. We describe some of the architectural aspects of this integration, comment on its methods and challenges, and present an experimental evaluation on a suite of benchmarks.

Funder

National Science Foundation

Air Force Office of Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Computing exact nonlinear reductions of dynamical models;ACM Communications in Computer Algebra;2022-06

2. Structured Proofs for Adversarial Cyber-Physical Systems;ACM Transactions on Embedded Computing Systems;2021-10-31

3. Implicit and Explicit Proof Management in KeYmaera X;Electronic Proceedings in Theoretical Computer Science;2021-08-06

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