Abstract
Within the framework of structural analysis, techniques are developed for obtaining reduced-order structural models in which all structural information is preserved. The reduced models are valid for any input and output sets guaranteeing that, from the structural controllability test, the same set of feasible input-output pairings are obtained from the low-order model as would be obtained from the high-order model. New insight into the practical significance of the generic rank test for structural controllability is provided, and an algorithm for the development of low-order models for staged systems is presented.
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