2002
DOI: 10.1006/jsvi.2002.5165
|View full text |Cite
|
Sign up to set email alerts
|

Co-Ordinate Transformations for Second Order Systems. Part I: General Transformations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
43
0

Year Published

2003
2003
2013
2013

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 57 publications
(43 citation statements)
references
References 20 publications
(26 reference statements)
0
43
0
Order By: Relevance
“…It has been illustrated in the literature that it is possible to decouple a non-defective system (1) while preserving both the algebraic and geometric multiplicities of the associated eigenvalues (i.e., the decoupling transformation is strictly isospectral). Phase synchronization [39,40] in the n-dimensional configuration space is an example of how decoupling is achieved in such a way, as is the method of structure-preserving transformations in the 2n-dimensional state space proposed by Garvey and others [31][32][33][34]. If one insists that geometric multiplicities be preserved, then a defective system (1) may only be partially decoupled [46].…”
Section: A Generalized State Space Representation For Decouplingmentioning
confidence: 99%
See 1 more Smart Citation
“…It has been illustrated in the literature that it is possible to decouple a non-defective system (1) while preserving both the algebraic and geometric multiplicities of the associated eigenvalues (i.e., the decoupling transformation is strictly isospectral). Phase synchronization [39,40] in the n-dimensional configuration space is an example of how decoupling is achieved in such a way, as is the method of structure-preserving transformations in the 2n-dimensional state space proposed by Garvey and others [31][32][33][34]. If one insists that geometric multiplicities be preserved, then a defective system (1) may only be partially decoupled [46].…”
Section: A Generalized State Space Representation For Decouplingmentioning
confidence: 99%
“…Moreover, unlike classical modal analysis, complex modal analysis provides little in the way of physical insight since the complex congruence transformation involved generally makes it impossible to identify the 2n state variables with displacements and velocities. Alternative methods for decoupling include the recently proposed structure-preserving transformations by Garvey and others [31][32][33][34], but the case of defective systems (that is, those systems with eigenvalues which do not have corresponding eigenvectors) is not considered. In fact, it is quite common in the literature to avoid the issue of systems with defective eigenvalues, a trend likely motivated by the practical reason that it is rare to obtain exactly repeated eigenvalues.…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, Newland demonstrated that the original n-degree-of-freedom, differential-algebraic system (1) may be rewritten as a first-order differential equation through a reduction method (see [Chapter 6,14]), but his approach is limited to homogenous systems with a mass matrix of rank nÀ1. Finally, Garvey et al [15,16] have recently proposed decoupling through what they term "structure-preserving transformations." While their work focuses on the case when the mass matrix M is invertible, the authors do briefly mention how their decoupling methodology may be extended to include the case when M is singular.…”
Section: Limitations and Inadequaciesmentioning
confidence: 99%
“…Recently, Garvey, Friswell and Prells [7] proposed a notion that total decoupling of a system is not equivalent to simultaneous diagonalization. In particular, they argued that, under some mild assumptions, a general quadratic λ-matrix can be converted by real-valued isospectral transformations into a totally decoupled system.…”
Section: Total Decoupling Problemmentioning
confidence: 99%
“…The original proof of this important result by Garvey, Friswell and Prells [7] contains some ambiguities which were later clarified and simplified by Chu and del Buono in [4]. A rather sophisticated algorithm was proposed in [5] for computing the transformation numerically without knowing a priori the eigeninformation.…”
Section: Total Decoupling Problemmentioning
confidence: 99%