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Five Years of Multi-Disciplinary Academic and Industrial Research; Lessons Learned

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TLDR
The Boderc project was the first broad scale multi-disciplinary project with closely cooperating industrial and academic participants performed by the Embedded Systems Institute and the central theme of the research is the use of multi- disciplines to predict and analyze system performance and to explore design options.
Abstract
The Boderc project was the first broad scale multi-disciplinary project with closely cooperating industrial and academic participants performed by the Embedded Systems Institute. After five years we evaluated the project and collected the lessons learned from this project. We look at the underlying project philosophy, Industry-as-Laboratory, at process and organization issues, and at the project results.The article describes the industrial context, the design of the system (a high-volume printer), and the challenges of creating system designs in the industrial context. We discuss the research propositions to tackle these challenges. The central theme of the research is the use of multi-disciplinary models to predict and analyze system performance and to explore design options.

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References
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Book

An Introduction to Hybrid Dynamical Systems

TL;DR: Modeling of hybrid systems.
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Software engineering: an unconsummated marriage

TL;DR: When the first conference on “Software Engineering” was held, under NATO sponsorship three decades ago in Munich, the vast majority of Engineers ignored it, seeing programming as a trivial task akin to using a calculator.

Event-driven control in theory and practice : trade-offs in software and control performance

J.H. Sandee
TL;DR: This thesis proposes to drop the strict requirement of equidistant sampling and proposes event-driven controllers that do not update the control value when the tracking/stabilization error is below a certain threshold, which enables the designers to make better balanced multidisciplinary trade-offs resulting in a better overall system performance and reduced cost price.
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