New stability results for impulsive neural networks with time delays
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3481-6
Abstract: This paper investigates the stability of impulsive neural networks with time delays. Based on a new tool called as uniformly exponentially convergent functions, an improved Razumikhin method leads to new, more permissive stability results. By… read more here.
Keywords: networks time; neural networks; time; impulsive neural ... See more keywords
Anti-periodic solutions for state-dependent impulsive recurrent neural networks with time-varying and continuously distributed delays
Sign Up to like & getrecommendations! Published in 2017 at "Annals of Operations Research"
DOI: 10.1007/s10479-016-2192-6
Abstract: In this paper, we address a new model of neural networks related to the impulsive phenomena which is called state-dependent impulsive recurrent neural networks with time-varying and continuously distributed delays. We investigate sufficient conditions on… read more here.
Keywords: networks time; neural networks; impulsive recurrent; state dependent ... See more keywords
Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular Neural Networks with Time-Varying Delays
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9683-6
Abstract: This paper is concerned with global robust exponential stability for a class of delayed cellular neural networks with time-varying delays. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global… read more here.
Keywords: networks time; stability; neural networks; time varying ... See more keywords
Pinning Synchronization of Fractional General Complex Dynamical Networks with Time Delay
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1232
Abstract: Abstract In this paper, pinning synchronization of fractional general complex dynamical networks with time delay is investigated. Based on the stability theory of fractional systems and the inequality of the fractional derivative, some pinning synchronization… read more here.
Keywords: networks time; pinning synchronization; general complex; synchronization fractional ... See more keywords
Finite-time anti-synchronization of neural networks with time-varying delays
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.09.097
Abstract: Abstract In this paper, we are concerned with the anti-synchronization of master–slave neural networks with time delays. By dividing the whole anti-synchronization process into two procedures: the absolute value of error state ei(t) flowing from… read more here.
Keywords: networks time; finite time; neural networks; anti synchronization ... See more keywords
Global exponential stability analysis of neural networks with a time-varying delay via some state-dependent zero equations
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.064
Abstract: Abstract This paper studies the exponential stability problem of neural networks with a time-varying delay. Firstly, an augmented Lyapunov-Krasovskii functional (LKF) containing a single integral state is constructed. Then a generalized free-matrix-based integral inequality and… read more here.
Keywords: state; networks time; neural networks; time varying ... See more keywords
Fuzzy weighted recurrence networks of time series
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.09.035
Abstract: Abstract The concept of networks in the context of graph theory delineates a wide variety of real-life complex systems. The theory of networks finds its applications very useful in many scientific and intellectual domains. Weighted… read more here.
Keywords: weighted recurrence; fuzzy weighted; recurrence; time series ... See more keywords
Structural Entropy: Monitoring Correlation-Based Networks Over Time With Application To Financial Markets
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-47210-8
Abstract: The concept of “Structural Diversity” of a network refers to the level of dissimilarity between the various agents acting in the system, and it is typically interpreted as the number of connected components in the… read more here.
Keywords: networks time; correlation based; time; correlation ... See more keywords
Asymptotical boundedness for stochastic coupled systems on networks with time-varying delay driven by G-Brownian motion
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Control"
DOI: 10.1080/00207179.2018.1435907
Abstract: ABSTRACT This paper investigates a class of stochastic coupled systems on networks with time-varying delay driven by G-Brownian motion (G-SCSNTVD, in short). By means of inequality technique, kth vertex-Lyapunov functions and graph-theory, we obtain asymptotical… read more here.
Keywords: networks time; delay driven; time varying; varying delay ... See more keywords
Global asymptotic synchronisation of fuzzy inertial neural networks with time-varying delays by applying maximum-value approach
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2050437
Abstract: In the paper, we are concerned about the global asymptotic synchronisation for a class of fuzzy master–slave inertial neural networks with time-varying delays. At present, most of the research on the global asymptotic synchronisation of… read more here.
Keywords: neural networks; asymptotic synchronisation; inertial neural; networks time ... See more keywords
A New Approach to Stability Analysis for Stochastic Hopfield Neural Networks With Time Delays
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3120682
Abstract: This article is devoted to the existence and the global stability of stationary solutions for stochastic Hopfield neural networks with time delays and additive white noises. Using the method of random dynamical systems, we present… read more here.
Keywords: neural networks; new approach; networks time; hopfield neural ... See more keywords