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Designing for Reliability and Robustness

by Linda Webb

 

12 Mar 2008 (Updated 13 Mar 2008)

Tools and techniques to create designs that perform as expected over time

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Using an automotive suspension system as an example, this article describes tools and techniques in MATLAB®, Statistics Toolbox™, and Optimization Toolbox™ that let you extend a traditional design optimi¬zation approach to account for uncertainty in your design, improving quality and reducing prototype testing and development effort.

By Stuart Kozola

This article appeared in MATLAB Digest, January 2008, which you can read at http://www.mathworks.com/company/newsletters/?s_cid=nws_flex

MATLAB release MATLAB 7.6 (R2008a)
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whitepaper Linda Webb 22 Oct 2008 09:53:11
article Linda Webb 22 Oct 2008 09:53:11
paper Linda Webb 22 Oct 2008 09:53:11
uncertainty Linda Webb 22 Oct 2008 09:53:11
optimization Linda Webb 22 Oct 2008 09:53:11
automotive Linda Webb 22 Oct 2008 09:53:11
articles Linda Webb 22 Oct 2008 09:53:11
whitepapers Linda Webb 22 Oct 2008 09:53:11

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