The quality-by-design principles used to control process variability are equally important to measurement systems because process variability includes contributions from measurement system variability ...

When there exists strong noise factors in the process, robust parameter design alone may not be effective, and a control strategy can be used to compensate for the effect of noise. In this article a ...

We focus on developing control techniques that ensure system performance and stability under uncertainty and nonlinearity. Our expertise includes robust control design and analysis methods for ...

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To monitor and control processes or products, analytical methodology must be fit for purpose. An approach to apply quality by design principles to the design and evaluation of analytical methods has ...

In robust design studies, the important noise factors are varied systematically in off-line experiments and their interactions with control factors are investigated. The choice of the noise variable ...