Results 61 to 70 of about 4,245 (213)
Proteins: Structure, Function, and Bioinformatics, EarlyView.ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley +1 more source
Note on an extension of the Moore-Penrose inverse [PDF]
, 1981 The defining equations for the Moore-Penrose inverse of a matrix are extended to give a unique type of generalized inverse for matrices over arbitrary ...
Cline, Randall E.
core +1 more source
High‐Order Sliding‐Mode control for MIMO Systems
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper extends Lyapunov‐based homogeneous high‐order sliding‐mode control to a class of uncertain non‐square multi‐input multi‐output (MIMO) nonlinear systems with a well‐defined vector relative degree. The considered systems admit a normal‐form representation with an uncertain but full‐row‐rank input‐gain matrix.
Jaime A. Moreno, Angel Mercado‐Uribe
wiley +1 more source
MATRIKS INVERS MOORE PENROSE ATAS DAERAH INTEGRAL [PDF]
, 2005 . The Inverse Moore Penrose matrix has been applied in various areas, for example in statistic and optimization. In this paper we study Inverse Moore Penrose matrix which is applied to Integral Domain.
UDJIANI, TITI
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Journal of Mathematics, 2021 In this paper, we study the reverse order law for the Moore–Penrose inverse of the product of three bounded linear operators in Hilbert spaces. We first present some equivalent conditions for the existence of the reverse order law ABC†=C†B†A†.
Yang Qi, Liu Xiaoji, Yu Yaoming
doaj +1 more source
Computing Moore–Penrose Inverses with Polynomials in Matrices
The American Mathematical Monthly, 2021 This article proposes a method for computing the Moore–Penrose inverse of a complex matrix using polynomials in matrices. Such a method is valid for all matrices and does not involve spectral calculation, which could be infeasible when the size of the matrix is large.
openaire +2 more sources
Journal of Field Robotics, EarlyView.ABSTRACT Early detection of breast abnormalities remains challenging: manual palpation is subjective and operator‐dependent, while imaging modalities may miss small or subtle stiffness anomalies. This paper presents a biomimetic multifinger robotic palpation approach intended to support early breast‐cancer screening and follow‐up assessment as a proof ...
Kai Cheng +7 more
wiley +1 more source
General expressions for the Moore-Penrose inverse of a 2 × 2 block matrix [PDF]
, 1991 The Moore-Penrose inverse of a 2 × 2 block matrix M = m=acbd is discussed. General expressions for the Moore-Penrose inverse for the block matrix M in terms of the individual blocks A, B, C, D are delivered without any restrictions imposed.
Miao, Jian-Ming
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Novel Methods for Computing the Moore-Penrose Inverse of Neutrosophic Fuzzy Matrices [PDF]
Neutrosophic Sets and SystemsIn this paper, we introduce a method for determining the generalized inverse (g-inverse) and the Moore-Penrose inverse of Neutrosophic Fuzzy Matrices (NFMs), along with the necessary conditions.
R. Jaya, S. Vimala
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Frequency control of droop‐based low‐voltage microgrids with cobweb network topologies
IET Generation, Transmission & Distribution, 2020 When distributed generation (DG) technologies are implemented in an islanded low‐voltage microgrid (LVMG), the topological architecture directly affects the frequency synchronisability. Especially in cases of high DG penetration, the synchronisability of
Chang Yu, Hong Zhou, Xiaoqing Lu
doaj +1 more source