Results 11 to 20 of about 70,207 (165)

Model Predictive Regulation on Manifolds in Euclidean Space [PDF]

Sensors, 2022
One of the crucial problems in control theory is the tracking of exogenous signals by controlled systems. In general, such exogenous signals are generated by exosystems.
Karmvir Singh Phogat, Dong Eui Chang
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Characterizations of Framed Curves in Four-Dimensional Euclidean Space

Universal Journal of Mathematics and Applications, 2021
Framed curves in Euclidean space are used to investigate singular curves and are important for singularity theory. In this study, framed curves in four-dimensional Euclidean space are introduced and new results are obtained. The relation of framed curves
Bahar Doğan Yazıcı, Murat Tosun, Sıddıka Özkaldı Karakuş   +2 more
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Twisted Hypersurfaces in Euclidean 5-Space

Mathematics, 2023
The twisted hypersurfaces x with the (0,0,0,0,1) rotating axis in five-dimensional Euclidean space E5 is considered. The fundamental forms, the Gauss map, and the shape operator of x are calculated.
Yanlin Li, Erhan Güler
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Transformation of Non-Euclidean Space to Euclidean Space for Efficient Learning of Singular Vectors

IEEE Access, 2020
Singular value decomposition (SVD) is a popular technique to extract essential information by reducing the dimension of a feature set. SVD is able to analyze a vast matrix in spite of a relatively low computational cost.
Seunghyun Lee, Byung Cheol Song
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Geometric Reinforcement Learning for Robotic Manipulation

IEEE Access, 2023
Reinforcement learning (RL) is a popular technique that allows an agent to learn by trial and error while interacting with a dynamic environment.
Naseem Alhousani, Matteo Saveriano, Ibrahim Sevinc, Talha Abdulkuddus, Hatice Kose, Fares J. Abu-Dakka   +5 more
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Specific Emitter Identification Based on Ensemble Neural Network and Signal Graph

Applied Sciences, 2022
Specific emitter identification (SEI) is a technology for extracting fingerprint features from a signal and identifying the emitter. In this paper, the author proposes an SEI method based on ensemble neural networks (ENN) and signal graphs, with the ...
Chenjie Xing, Yuan Zhou, Yinan Peng, Jieke Hao, Shuoshi Li   +4 more
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Reflection-Like Maps in High-Dimensional Euclidean Space

Mathematics, 2020
In this paper, we introduce reflection-like maps in n-dimensional Euclidean spaces, which are affinely conjugated to θ : ( x 1 , x 2 , … , x n ) → 1 x 1 , x 2 x 1 , … , x n x 1 .
Zhiyong Huang, Baokui Li
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Features of the geometry of the five-dimensional pseudo-Euclidean space of index two [PDF]

E3S Web of Conferences
The article is devoted to the study of the geometry of subspaces of a five-dimensional pseudo-Euclidean space. This space is attractive because all kinds of semi-Euclidean, semi-pseudo-Euclidean, hyperbolic three-dimensional spaces with projective ...
Artikbaev A., Mamadaliyev B.M.
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Generalized Helicoidal Surfaces in Euclidean 5-space

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021
In this paper, we study generalized helicoidal surfaces in Euclidean 5-space. We obtain the necessary and sufficient conditions for generalized helicoidal surfaces in Euclidean 5-space to be minimal, flat or of zero normal curvature tensor, which are ...
Uçum Ali, Sakaki Makoto
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Electrodynamics in Euclidean Space Time Geometries

Open Physics, 2019
In this article it is proven that Maxwell’s field equations are invariant for a real orthogonal Cartesian space time coordinate transformation if polarization and magnetization are assumed to be possible in empty space. Furthermore, it is shown that this
Schliewe Jörn
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