Data-driven machine control: a feasibility study on YieldStar

M. Mehrafrouz

    Research output: ThesisEngD Thesis

    550 Downloads (Pure)

    Abstract

    Traditionally machine control software focusses on the control flow; this is also the situation within ASML and YieldStar. With the increased complexity of the machine control software more and more data is needed to accurately control a tool like YieldStar. In other software application areas, like web applications, these similar problems are addressed by more data-centered solutions applying design patterns like producer-consumer or pipes and filters. This approach has resulted in standard implementations for these patterns. Within .Net now two of these implementations are available: Dataflow and Reactive extensions. The project is about prototype these new .Net implementations within the context of machine control software and embedded systems for the YieldStar.
    Original languageEnglish
    Supervisors/Advisors
    • Cuijpers, Pieter J.L., Supervisor
    • Peeters, Rik, External supervisor, External person
    Award date1 Oct 2014
    Place of PublicationEindhoven
    Publisher
    Print ISBNs978-90-444-1324-3
    Publication statusPublished - 1 Oct 2014

    Bibliographical note

    Eindverslag.

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