Pegasus: sound continuous invariant generation
Abstract
Continuous 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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 20, 2021
- Source ID
- 10.1007/s10703-020-00355-z
Entities
People
- Andrew Sogokon
- André Platzer
- Katherine Kosaian
- Stefan Mitsch
- Yong Kiam Tan
Organizations
- Air Force Office of Scientific Research
- National Science Foundation