Formal Methods for the Analysis of Critical Control Systems Models: Combining Non-Linear and Linear Analyses

Event
SAE 2013 AeroTech Congress & Exhibition
Authors Abstract
Content
Critical control systems are often built as a combination of a control core with safety mechanisms allowing to recover from failures. For example a PID controller used with triplicated inputs. Typically those systems would be designed at the model level in a synchronous language like Lustre or Simulink, and their code automatically generated from those models.
In previous SAE symposium, we addressed the formal analysis of such systems - focusing on the safety parts - using a combination of formal techniques, ie. k-induction and abstract interpretation.
The approach developed here extends the analysis of the system to the control core. We present a new analysis framework combining the analysis of open-loop stable controller with those safety constructs. We introduce the basic analysis approaches: abstract interpretation synthesizing quadratic invariants and backward analysis based on quantifier elimination. Then we apply it on a simple but representative example that no other available state-of-the-art technique is able to analyze.
This contribution is another step towards early use of formal methods for critical embedded software such as the ones of the aerospace industry.
Meta TagsDetails
DOI
https://doi.org/10.4271/2013-01-2109
Pages
11
Citation
Jobredeaux, R., Champion, A., Dierkes, M., Delmas, R. et al., "Formal Methods for the Analysis of Critical Control Systems Models: Combining Non-Linear and Linear Analyses," SAE Int. J. Aerosp. 6(1):150-160, 2013, https://doi.org/10.4271/2013-01-2109.
Additional Details
Publisher
Published
Sep 17, 2013
Product Code
2013-01-2109
Content Type
Journal Article
Language
English