Results 311 to 320 of about 20,023,457 (377)
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On the convergence condition and convergence time of BGP
Computer Communications, 2011The Internet composes of thousands of Autonomous System (ASes). The Border Gateway Protocol (BGP) is the standard protocol for sharing inter-domain routing information. Unlike OSPF and IS-IS, BGP allows an AS to use a lot of attributes to express semantic rich routing policies that are consistent with its desired economic, business, performance, and ...
Huaming Guo +3 more
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Fast Phase Angle Jump Estimation to Improve the Convergence Time of the GDSC-PLL
IEEE transactions on industrial electronics (1982. Print), 2020The fast detection of magnitude, frequency, and phase angle of the fundamental-frequency component is very useful in many three-phase power system applications.
Daniel Soares dos Santos Andrade +3 more
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A Robust Predefined-Time Convergence Zeroing Neural Network for Dynamic Matrix Inversion
IEEE Transactions on Cybernetics, 2022As a classical and effective method for solving various time-varying problems, the zeroing neural network (ZNN) is widely applied in the scientific and industrial realms. In plentiful studies on the ZNN model, its robustness and convergence have been two
Jie Jin +5 more
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Convergence methods on time scales
AIP Conference Proceedings, 2013In this paper, we introduce the concepts of lacunary statistical convergence and strongly lacunary Cesaro summability of delta measurable functions on time scales and obtain some inclusion results between them. We also display some examples containing discrete and continuous cases.
Turan, Ceylan, Duman, Oktay
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Finite-time convergence disturbance rejection control for a flexible Timoshenko manipulator
IEEE/CAA Journal of Automatica Sinica, 2021This paper focuses on a new finite-time convergence disturbance rejection control scheme design for a flexible Timoshenko manipulator subject to extraneous disturbances.
Zhijia Zhao, Zhijie Liu
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IEEE Transactions on Vehicular Technology
Decentralized Federated Learning (DFL) is a federated learning framework without any central controllers. With the development of Low Earth Orbit (LEO) satellite constellations, LEO satellites can be used to train a machine learning model collaboratively
Zhi-Hui Yan, Dong Li
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Decentralized Federated Learning (DFL) is a federated learning framework without any central controllers. With the development of Low Earth Orbit (LEO) satellite constellations, LEO satellites can be used to train a machine learning model collaboratively
Zhi-Hui Yan, Dong Li
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On Finite-Time Convergence of Actor-Critic Algorithm
IEEE Journal on Selected Areas in Information Theory, 2021Actor-critic algorithm and their extensions have made great achievements in real-world decision-making problems. In contrast to its empirical success, the theoretical understanding of the actor-critic seems unsatisfactory. Most existing results only show
Shuang Qiu +3 more
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IEEE Transactions on Industrial Informatics, 2018
Time-variant linear matrix equations (TVLMEs) are ubiquitous in engineering. To solve TVLMEs, various zeroing neural network (ZNN) models have been developed.
Weibing Li
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Time-variant linear matrix equations (TVLMEs) are ubiquitous in engineering. To solve TVLMEs, various zeroing neural network (ZNN) models have been developed.
Weibing Li
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Nonsmooth Extremum Seeking Control With User-Prescribed Fixed-Time Convergence
IEEE Transactions on Automatic Control, 2021This article introduces a new class of nonsmooth extremum seeking controllers (ESCs) with convergence bounds given by class-$\mathcal {K}\mathcal {L}$ functions that have a uniformly bounded settling time.
J. Poveda, M. Krstić
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On the Convergence of Time‐Discrete Processes
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1994AbstractWe prove a general convergence result for a multistep time‐discrete process equation image under very mild conditions on the function V. We discuss the application to boundary value‐ and boundary layer problems. Our proof is a straight‐forward argument without any concepts for stability or consistency.
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