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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3312-1
Abstract: Based on the structure and the working mechanism of real neurons, a new mathematical model of the memristor-based switching networks (MSNs) with multiple links and time-varying delays is proposed. Further, we study the asymptotic and…
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Keywords:
finite time;
memristor based;
time;
switching networks ... See more keywords
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Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3057990
Abstract: This article proposes a unified Lyapunov framework for analyzing the stochastic asymptotic and finite-time convergence/stability for Itô stochastic nonlinear systems. By exploring the coupling effect between the drift and the diffusion parts of the system,…
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Keywords:
time;
finite time;
time convergence;
asymptotic finite ... See more keywords
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Published in 2019 at "Bernoulli"
DOI: 10.3150/18-bej1065
Abstract: The Wasserstein distance between two probability measures on a metric space is a measure of closeness with applications in statistics, probability, and machine learning. In this work, we consider the fundamental question of how quickly…
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Keywords:
finite sample;
sharp asymptotic;
asymptotic finite;
rates convergence ... See more keywords