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MATLAB/Simulink for Automotive Systems Design

Authors: Jon Friedman;

MATLAB/Simulink for Automotive Systems Design

Abstract

Automotive systems are becoming increasingly difficult and expensive to design successfully as the market demands increasing complexity. Body electronics are particularly affected by this trend, a good example being power windows design. This seemingly mundane area involves meeting market and legislative requirements, which means creating a control system that combines the input from several sensors and follows complex behavioral rules (Prabhu and Mosterman, 2004). Traditional design methodologies involve writing a text specification and implementing algorithms in C. However, algorithms cannot be verified without hardware. This approach leaves the engineer in the unenviable position of waiting for the last piece of hardware to arrive to enable them to test their system. To avoid these problems, engineers need to decouple algorithm development and verification from the availability of hardware. To address this need, OEMs and suppliers around the world are switching to model-based design

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
16
Top 10%
Top 10%
Average
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