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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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Collaborative Design for Embedded Systems - Co-modelling and Co-simulation (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R2,764
Discovery Miles 27 640
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Collaborative Design for Embedded Systems - Co-modelling and Co-simulation (Paperback, Softcover reprint of the original 1st ed. 2014)
Expected to ship within 10 - 15 working days
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One of the most significant challenges in the development of
embedded and cyber-physical systems is the gap between the
disciplines of software and control engineering. In a marketplace,
where rapid innovation is essential, engineers from both
disciplines need to be able to explore system designs
collaboratively, allocating responsibilities to software and
physical elements, and analyzing trade-offs between them. To this
end, this book presents a framework that allows the very different
kinds of design models - discrete-event (DE) models of software and
continuous time (CT) models of the physical environment - to be
analyzed and simulated jointly, based on common scenarios. The
individual chapters provide introductions to both sides of this
co-simulation technology, and give a step-by-step guide to the
methodology for designing and analyzing co-models. They are grouped
into three parts: Part I introduces the technical basis for
collaborative modeling and simulation with the Crescendo
technology. Part II continues with different methodological
guidelines for creating co-models and analyzing them in different
ways using case studies. Part III then delves into more advanced
topics and looks into the potential future of this technology in
the area of cyber-physical systems. Finally various appendices
provide summaries of the VDM and 20-sim technologies, a number of
valuable design patterns applicable for co-models, and an acronym
list along with indices and references to other literature. By
combining descriptions of the underlying theory with records of
real engineers' experience in using the framework on a series of
case studies the book appeals to scientists and practitioners
alike. It is complemented by tools, examples, videos, and other
material on www.crescendotool.org. Scientists/researchers and
graduate students working in embedded and cyber-physical systems
will learn the semantic foundations for collaborative modeling and
simulation, as well as the current capabilities and limitations of
methods and tools in this field. Practitioners will be able to
develop an appreciation of the capabilities of the co-modeling
techniques, to assess the benefits of more collaborative approaches
to modeling and simulation, and will benefit from the included
guidelines and modeling patterns.
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