New Results on Impulsive Cohen–Grossberg Neural Networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: neural networks; impulsive cohen; grossberg neural; new results ... See more keywords
Globally Robust Stability Analysis for Stochastic Cohen–Grossberg Neural Networks with Impulse Control and Time-Varying Delays
Sign Up to like & getrecommendations! 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… read more here.
Keywords: control time; neural networks; time varying; grossberg neural ... See more keywords
Asymptotical and adaptive synchronization of Cohen-Grossberg neural networks with heterogeneous proportional delays
Sign Up to like & getrecommendations! 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… read more here.
Keywords: synchronization cohen; neural networks; grossberg neural; proportional delays ... See more keywords
Input-to-state stability of stochastic nonlinear fuzzy Cohen–Grossberg neural networks with the event-triggered control
Sign Up to like & getrecommendations! 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… read more here.
Keywords: nonlinear fuzzy; stochastic nonlinear; grossberg neural; control ... See more keywords
New results on global stability analysis of discontinuous Cohen–Grossberg neural networks of neutral-type in Hale's form
Sign Up to like & getrecommendations! 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... read more here.
Keywords: networks neutral; neural networks; neutral type; grossberg neural ... See more keywords
Exponential stability and synchronisation of fuzzy Mittag–Leffler discrete-time Cohen–Grossberg neural networks with time delays
Sign Up to like & getrecommendations! 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… read more here.
Keywords: time; neural networks; exponential stability; mittag leffler ... See more keywords
Stability Analysis of Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3196772
Abstract: By improving a previously introduced Lyapunov functional,this paper addressed the stability issue about neutral-type Cohen-Grossberg neural networks with multiple time-varying delays in the states of neurons and the time derivative of states of neurons, a… read more here.
Keywords: time; neural networks; cohen grossberg; stability ... See more keywords