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EDA for cyber-physical systems

Authors: Samarjit Chakraborty;

EDA for cyber-physical systems

Abstract

Over the years, electronic design automation (EDA) has been moving up the design abstraction ladder. Starting from automating tasks like placement, floor-planning and routing in integrated circuits design, EDA now encompasses many system-level design tasks. However, the next challenge facing the EDA community is to develop methods and also tools for cyber-physical systems (CPS) design. For these systems, physical processes, control algorithms that control these processes, and the computation and communication platforms on which these control algorithms are implemented — are all modeled and designed in a tightly integrated fashion. Currently available EDA methods and tools are not equipped to handle such integrated modeling and design. In particular, there is a big disconnect between modeling tools — like Matlab/Simulink — that are used for modeling plant dynamics and designing their controllers, and the tools that are used to design and configure the hardware/software platforms on which these controllers are eventually implemented. In this extended abstract we discuss the consequences of this disconnect and possible ways of addressing this situation.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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