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Transformational Supervisor Localization

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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.
Original languageEnglish
Article number2305.09384
Number of pages6
JournalarXiv
Volume2023
DOIs
Publication statusPublished - 16 May 2023

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