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Diagonalizable quadratic eigenvalue problems

delete2009-05-01
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Peter Lancaster
I
I. Zaballa *
DOI:10.1016/j.ymssp.2008.11.007delete
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Abstract

Abstract

En 中文
A system is defined to be an n x n matrix function L(lambda) = lambda M-2 + lambda D + K where M, D, K is an element of C-nxn and M is nonsingular. First, a careful review is made of the possibility of direct decoupling to a diagonal (real or complex) system by applying congruence or strict equivalence transformations to L(lambda). However, the main contribution is a complete description of the much wider class of systems which can be decoupled by applying congruence or strict equivalence transformations to a linearization of a system while preserving the structure of L(lambda). The theory is liberally illustrated with examples. (C) 2008 Published by Elsevier Ltd.
Keywords:
Damped systems
Decoupling
Diagonalization
Linearization
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Journal

Mechanical Systems and Signal Processing cover
Mechanical Systems and Signal Processing
IF:
8.9
Papers:
1.3W
Citations:
6.6W

Organization

U
University of Calgary
Scholars:
3.8W
Papers: 3.3W
Citations: 52
U
university of basque country
Scholars:
1.9W
Papers: 1.6W
Citations: 17
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