Fuzzy Logic for Autonomous Dynamic Scheduler with Conflict Detection and Resolution

Michelle Lavagna
Andrea Da Costa
Alessandro Donati
Alessandro.Donati@esa.int

Abstract


The proposed demo presents a new approach to face the autonomous updating of the on board scheduled activities for space applications. The problem is treated as a multi-criteria decision-making on a dynamic knowledge base of the entire system. A search direction technique is proposed based on different ranking processes on the decisional nodes to be followed for solving violations.

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