2018
DOI: 10.1115/1.4040882
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The Moore–Penrose Dual Generalized Inverse Matrix With Application to Kinematic Synthesis of Spatial Linkages

Abstract: The paper initially reports about the properties of an expression of dual generalized inverse matrix currently available in the literature. It is demonstrated that such a matrix does not fulfill all the Penrose conditions. Hence, novel and computationally efficient algorithms/formulas for the computation of the Moore–Penrose dual generalized inverse (MPDGI) are herein proposed. The paper also contains a new algorithm for the singular value decomposition (SVD) of a dual matrix. The availability of these formula… Show more

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Cited by 29 publications
(10 citation statements)
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“…Our study of T-SVD is motivated by recent research [5][6][7][8] in mechanics, where the authors consider either a form of SVD that is essentially T-SVD, or a form of Polar Decomposition that is essentially T-Polar Decomposition. For completeness, we describe T-Polar Decomposition below.…”
Section: Dual T-svdmentioning
confidence: 99%
See 1 more Smart Citation
“…Our study of T-SVD is motivated by recent research [5][6][7][8] in mechanics, where the authors consider either a form of SVD that is essentially T-SVD, or a form of Polar Decomposition that is essentially T-Polar Decomposition. For completeness, we describe T-Polar Decomposition below.…”
Section: Dual T-svdmentioning
confidence: 99%
“…One of the main applications of the T-SVD is in finding the Moore-Penrose generalized inverse of a dual matrix (whenever it exists). This has applications in kinematic synthesis (see [7]).…”
Section: Dual T-svdmentioning
confidence: 99%
“…Recently in [7], [3], [4] and [8], the authors consider either a form of SVD that is essentially R-SVD, or a form of Polar Decomposition that is essentially R-Polar Decomposition. In each of these cases, the motivation for doing this comes from applications to mechanics.…”
Section: Dual R-svdmentioning
confidence: 99%
“…In [8], an attempt is made to reduce the problem of finding the R-SVD to solving a system of equations. No proof is given in [8] that this system always has a solution.…”
Section: Prior Work On R-svdmentioning
confidence: 99%
“…Perez-Garcia and McCarthy also applied dual quaternions to the synthesis of spatial linkages, including the RPRP chain [20,21]. More recently, Pennestrì et al proposed a dual version of the Moore-Penrose Generalized Inverse and used it for the synthesis of spatial four-bar linkages [22]. Dual quaternions were also used by Hegedüs et al to factor polynomials in an algorithm for linkage synthesis [23].…”
Section: Introductionmentioning
confidence: 99%