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Dmitry Roldugin, Anna Okhitina, Uliana Monakhova and Mikhail Ovchinnikov
In this article, five feedback magnetic attitude control algorithms are compared in terms of stabilization accuracy and implementation problems. The control strategies are classic Lyapunov control with scalar gain; the same control strategy with matrix g...
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Nikolaos I. Xiros and Erdem Aktosun
The hydrodynamic forces on an oscillating circular cylinder are predicted using neural networks under flow conditions where Vortex-Induced Vibrations (VIV) are known to occur. The derived neural network approximators are then incorporated in a dynamical ...
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Zhibin Zhang, Xinhong Li, Xun Wang, Xin Zhou, Jiping An and Yanyan Li
The safe and dependable removal of large-scale space debris has been a long-standing challenge that is critical to the safety of spacecraft and astronauts. In the process of capturing and deorbiting space debris, the space manipulator must achieve extrem...
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Chih-Chiang Chen and Guan-Shiun Chen
This paper is concerned with the problem of fixed-time stabilization for a class of uncertain second-order nonlinear systems. By delicately introducing extra manipulations in the feedback domination and revamping the technique of adding a power integrato...
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Renqiang Wang, Donglou Li and Keyin Miao
To improve the tracking stability control of unmanned surface vehicles (USVs), an intelligent control algorithm was proposed on the basis of an optimized radial basis function (RBF) neural network. The design process was as follows. First, the adaptation...
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Airam Sausen, Paulo Sérgio Sausen, Maurício de Campos
Pág. 497 - 504
This paper presents the computation of two limits for the nonlinear gain of the error-squared controller considering two procedures and performance analysis so that a closed-loop system with this control algorithm is asymptotically stable in the Lyapunov...
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