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Multidimensional stability test using sum-of-squares decomposition | IEEE Conference Publication | IEEE Xplore

Multidimensional stability test using sum-of-squares decomposition


Abstract:

A new stability test for d-dimensional systems is presented. It consists of maximizing the minimum eigenvalue of a positive definite Gram matrix associated with a polynom...Show More

Abstract:

A new stability test for d-dimensional systems is presented. It consists of maximizing the minimum eigenvalue of a positive definite Gram matrix associated with a polynomial positive on the unit d-circle. This formulation is based on expressing the polynomial as a sum of squares and leads to a semidefinite programming (SDP) problem, which can be solved reliably. Although the test is based on a sufficient condition, the practical results are very good. Also, the test has the advantage of not giving false positives.
Date of Conference: 23-26 May 2004
Date Added to IEEE Xplore: 03 September 2004
Print ISBN:0-7803-8251-X
Conference Location: Vancouver, BC, Canada

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