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Published in 2017 at "Mathematical Methods in The Applied Sciences"
DOI: 10.1002/mma.4630
Abstract: This paper deals with finite-time stabilization results of delayed Cohen-Grossberg BAM neural networks under suitable control schemes. We propose a state-feedback controller together with an adaptive-feedback controller to stabilize the system of delayed Cohen-Grossberg BAM…
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Keywords:
neural networks;
bam neural;
grossberg bam;
delayed cohen ... See more keywords
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Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9880-y
Abstract: This paper is concerned with an impulsive Cohen–Grossberg neural networks with mixed delays. Under proper conditions, we studied the existence, the uniqueness and the global exponential stability of asymptotic almost automorphic solutions for the suggested…
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Keywords:
neural networks;
impulsive cohen;
grossberg neural;
new results ... See more keywords
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Published in 2017 at "Ukrainian Mathematical Journal"
DOI: 10.1007/s11253-017-1426-3
Abstract: By constructing suitable Lyapunov functionals, in combination with the matrix-inequality technique, we establish a new simple sufficient linear matrix-inequality condition for the global robustly asymptotic stability of the stochastic Cohen–Grossberg neural networks with impulsive control…
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Keywords:
control time;
neural networks;
time varying;
grossberg neural ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.09.076
Abstract: Abstract In this paper, the synchronization of Cohen–Grossberg neural networks with proportional delays is investigated. Firstly, the asymptotical synchronization is proposed by designing a simple linear feedback controller, and some delay-independent and delay-dependent criteria are…
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Keywords:
synchronization cohen;
neural networks;
grossberg neural;
proportional delays ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.057
Abstract: Abstract In this paper, the periodicity of a class of impulsive Cohen–Grossberg-type fuzzy neural networks with hybrid delays is investigated. By applying integro-differential inequality with delays, the Lyapunov function, the Poincare map and the fixed…
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Keywords:
fuzzy neural;
type fuzzy;
impulsive cohen;
neural networks ... See more keywords
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Published in 2020 at "International Journal of Control"
DOI: 10.1080/00207179.2018.1540887
Abstract: ABSTRACT In this paper, we investigate a class of stochastic nonlinear fuzzy Cohen–Grossberg neural networks with feedback control and an unknown exogenous disturbance. By using the Lyapunov function, Itô's formula, Dynkin's formula, Comparison principle and…
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Keywords:
nonlinear fuzzy;
stochastic nonlinear;
grossberg neural;
control ... See more keywords
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Published in 2020 at "International Journal of Control"
DOI: 10.1080/00207179.2020.1800100
Abstract: In this paper, we aim to investigate the globally asymptotic stability of the equilibrium point for the discontinuous Cohen-Grossberg neural networks of neutral-type in Hale's form. To deal with th...
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Keywords:
networks neutral;
neural networks;
neutral type;
grossberg neural ... See more keywords
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Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2051093
Abstract: Exponential Euler differences for semi-linear differential equations of first order have got rapid development in the past few years and a variety of exponential Euler difference methods have become very significant researching topics. Therefore, exponential…
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Keywords:
time;
neural networks;
exponential stability;
mittag leffler ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2971839
Abstract: This paper deals with the problem for stability of neutral-type Cohen-Grossberg neural networks involving delay parameters. In the neutral-type neural networks, the states of the neurons involve multiple time-varying delays and time derivative of states…
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Keywords:
time;
neural networks;
stability;
cohen grossberg ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997905
Abstract: This paper deals with the state feedback stabilization problem of delayed discrete-time Cohen–Grossberg BAM neural networks. By the mathematical induction method, stabilizable conditions are derived to ensure that the resulting closed-loop system is globally exponentially…
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Keywords:
discrete time;
method;
delayed discrete;
cohen grossberg ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068191
Abstract: This paper deals with the problem for exponential stability of a more general class of neutral-type Cohen-Grossberg neural networks. This class of neutral-type Cohen-Grossberg neural networks involves multiple time-varying delays in the states of neurons…
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Keywords:
time;
stability;
cohen grossberg;
type cohen ... See more keywords