MISSILES: an Efficient Resolution of the Co-simulation Coupling Constraint on Nearly Linear Differential Systems through a Global Linear Formulation
Yohan Eguillon, Bruno Lacabanne, Damien Tromeur-Dervout

TL;DR
The paper introduces MISSILES, a non-iterative co-simulation method that efficiently solves coupling constraints in nearly linear differential systems by formulating a global linear system, eliminating the need for rollback capabilities.
Contribution
It extends the COSTARICA process to all systems in the IFOSMONDI-JFM co-simulation method, enabling a single linear system solution instead of iterative procedures.
Findings
Achieves the same results as iterative methods without rollback.
Reduces computational complexity and simulation time.
Maintains stability and accuracy of co-simulation.
Abstract
In a co-simulation context, interconnected systems of differential equations are solved separately but they regularly communicate data to one another during these resolutions. Iterative co-simulation methods have been developed in order to enhance both stability and accuracy. Such methods imply that the systems must integrate one or more times per co-simulation step (the interval between two consecutive communications) in order to find the best satisfying interface values for exchanged data (according to a given coupling constraint). This requires that every system involved in the modular model is capable of rollback: the ability to re-integrate a time interval that has already been integrated with different input commands. In a paper previously introduced by Eguillon et al. in 2022, the COSTARICA process is presented and consists in replacing the non-rollback-capable systems by an…
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.
Taxonomy
TopicsNumerical methods for differential equations · Modeling and Simulation Systems · Simulation Techniques and Applications
