Formalising the Continuous/Discrete Modeling Step
Richard Banach (University of Manchester, UK), Huibiao Zhu (East China, Normal University, PRC), Wen Su (East China Normal University, PRC), Runlei, Huang (Alcatel-Lucent Shanghai Bell, PRC)

TL;DR
This paper explores formal methods for transitioning from continuous to discrete models using refinement and retrenchment techniques, providing a framework to quantify differences and compare with hybrid systems approaches.
Contribution
It introduces a formal approach using model based retrenchment to quantify and compare continuous and discrete models, extending traditional refinement methods.
Findings
Quantifies differences between continuous and discrete models using ODE theory
Proposes a retrenchment framework to accommodate these differences
Outlines interfacing of continuous and discrete models through this approach
Abstract
Formally capturing the transition from a continuous model to a discrete model is investigated using model based refinement techniques. A very simple model for stopping (eg. of a train) is developed in both the continuous and discrete domains. The difference between the two is quantified using generic results from ODE theory, and these estimates can be compared with the exact solutions. Such results do not fit well into a conventional model based refinement framework; however they can be accommodated into a model based retrenchment. The retrenchment is described, and the way it can interface to refinement development on both the continuous and discrete sides is outlined. The approach is compared to what can be achieved using hybrid systems techniques.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
