Transformational Supervisor Localization
Formal Languages and Automata Theory
2023-05-17 v1
Abstract
Supervisor localization can be applied to distribute a monolithic supervisor into local supervisors. Performing supervisor localization can be computationally costly. In this work, we consider systems that evolve over time. We study how to reuse the results from a previous supervisor localization, to more efficiently compute local supervisors when the system is adapted. We call this approach transformational supervisor localization, and present algorithms for the procedure. The efficiency of the procedure is experimentally evaluated.
Cite
@article{arxiv.2305.09384,
title = {Transformational Supervisor Localization},
author = {Sander Thuijsman and Kai Cai and Michel Reniers},
journal= {arXiv preprint arXiv:2305.09384},
year = {2023}
}
Comments
Accepted for IEEE Control Systems Letters (L-CSS) (2023)