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Parameter space approach to linear system stability analysis under parameter variations

Posted on:1989-08-09Degree:M.S.E.EType:Thesis
University:The University of Texas at ArlingtonCandidate:Lai, Ho MingFull Text:PDF
GTID:2478390017454824Subject:Engineering
Abstract/Summary:
The allowable parameter variations for a linear system are analysed from the parameter space approach. By using the method of frequency scaling, the largest hyperspheres in the coefficient space for a family of stable continuous polynomials are extended to hyperellipsoids. In another approach, the largest hyperrectangle with given shape in the coefficient space for a family of stable continuous polynomials is found. This approach is then extended to a set of discrete polynomials with varying "lower-half" coefficients. For a set of discrete polynomials in which all coefficients can vary, a family of largest rectangles are determined in a set of specified coefficient planes. Finally, a quantitative measure of allowable perturbations to a system matrix is obtained by finding the largest hypersphere centered at the nominal system matrix in the parameter space.
Keywords/Search Tags:Parameter space, System, Largest, Stable continuous polynomials
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