Results 251 to 260 of about 37,432 (310)
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IEEE Transactions on Cybernetics, 2020
This paper is concerned with passivity of a class of delayed neural networks. In order to derive less conservative passivity criteria, two Lyapunov–Krasovskii functionals (LKFs) with delay-dependent matrices are introduced by taking into consideration a ...
Xianming Zhang +3 more
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This paper is concerned with passivity of a class of delayed neural networks. In order to derive less conservative passivity criteria, two Lyapunov–Krasovskii functionals (LKFs) with delay-dependent matrices are introduced by taking into consideration a ...
Xianming Zhang +3 more
semanticscholar +1 more source
Passivity-Based Robust Sampled-Data Control for Markovian Jump Systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020In this paper, the problem of passivity-based robust sampled-data control is investigated for continuous-time Markovian jump systems (MJSs). First, using parameters-dependent Lyapunov functionals consisting of looped-functionals, stochastic sufficient ...
Guoliang Chen, Jian Sun, Jie Chen
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Études anglaises, 2008
Résumé Cet article a pour but d’étudier certains passifs « atypiques ». Nous définissons ces passifs comme étant des extensions d’une matrice fondamentale correspondant à un passif prototypique. Cette étude comprend un examen des passifs prépositionnels, de la passivation des intransitifs et de la voix moyenne.
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Résumé Cet article a pour but d’étudier certains passifs « atypiques ». Nous définissons ces passifs comme étant des extensions d’une matrice fondamentale correspondant à un passif prototypique. Cette étude comprend un examen des passifs prépositionnels, de la passivation des intransitifs et de la voix moyenne.
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Passivity-Based Asynchronous Sliding Mode Control for Delayed Singular Markovian Jump Systems
IEEE Transactions on Automatic Control, 2018This paper is concerned with the problem of passivity-based asynchronous sliding mode control for a class of uncertain singular Markovian jump systems with time delay and nonlinear perturbations.
Fanbiao Li +3 more
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Neural Networks, 2020
This paper solves the event-triggered passivity and synchronization problems for delayed multiple-weighted coupled reaction-diffusion neural networks (DMWCRDNNs) composed of non-identical nodes with and without parameter uncertainties.
Shanrong Lin, Yanli Huang, Shun-Yan Ren
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This paper solves the event-triggered passivity and synchronization problems for delayed multiple-weighted coupled reaction-diffusion neural networks (DMWCRDNNs) composed of non-identical nodes with and without parameter uncertainties.
Shanrong Lin, Yanli Huang, Shun-Yan Ren
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IEEE Transactions on Cybernetics, 2019
In this paper, two multiple weighted coupled reaction–diffusion neural networks (CRDNNs) with and without coupling delays are introduced. On the one hand, some finite-time passivity (FTP) concepts are proposed for the spatially and temporally system with
Jin-Liang Wang +4 more
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In this paper, two multiple weighted coupled reaction–diffusion neural networks (CRDNNs) with and without coupling delays are introduced. On the one hand, some finite-time passivity (FTP) concepts are proposed for the spatially and temporally system with
Jin-Liang Wang +4 more
semanticscholar +1 more source
IEEE Transactions on Cybernetics, 2020
In this article, the problem of passivity and dissipativity analysis is investigated for a class of fractional-order quaternion-valued fuzzy memristive neural networks.
Ruoxia Li, Jinde Cao
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In this article, the problem of passivity and dissipativity analysis is investigated for a class of fractional-order quaternion-valued fuzzy memristive neural networks.
Ruoxia Li, Jinde Cao
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IEEE Transactions on Neural Networks and Learning Systems, 2019
This paper presents a complex network model consisting of $N$ uncertain reaction–diffusion neural networks with multiple time delays. We analyze the passivity and synchronization of the proposed network model and derive several passivity and ...
Jin-Liang Wang, Zhen Qin
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This paper presents a complex network model consisting of $N$ uncertain reaction–diffusion neural networks with multiple time delays. We analyze the passivity and synchronization of the proposed network model and derive several passivity and ...
Jin-Liang Wang, Zhen Qin
exaly +2 more sources
Passivity analysis of delayed reaction-diffusion memristor-based neural networks
Neural Networks, 2019This paper discusses the passivity of delayed reaction-diffusion memristor-based neural networks (RDMNNs). By exploiting inequality techniques and by constructing appropriate Lyapunov functional, several sufficient conditions are obtained in the form of ...
Yanyi Cao +4 more
semanticscholar +1 more source