Relative sensitivity is a measure of the percentage change in a system parameter caused by a percentage change in a component parameter. The adjoint network method has previously been used by Monaco and Tiberio in the computation of relative scattering parameter sensitivity. A new approach is presented in this work which defines a bilinear equation and three constants that relate any component scattering parameter to any system scattering parameter. A computer-aided design program which implements this relative sensitivity in analysis and optimization is presented. Circuit analysis examples demonstrating sensitivity analysis and optimization are included. As a background for this work, computer-aided design concepts, such as network modeling, objective functions, Rosenbrock's optimization method, and the adjoint network method for estimating partial derivatives, are also presented. / Master of Science
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/80100 |
| Date | January 1988 |
| Creators | Blackburn, Dane E. |
| Contributors | Electrical Engineering |
| Publisher | Virginia Polytechnic Institute and State University |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Type | Thesis, Text |
| Format | iv, 118 leaves, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | OCLC# 18605218 |
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