Robust stability of uncertain Markovian jumping Cohen-Grossberg neural networks with mixed time-varying delays
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Publication:603833
DOI10.1016/j.chaos.2009.03.161zbMath1198.93166OpenAlexW2048636813MaRDI QIDQ603833
Publication date: 8 November 2010
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2009.03.161
Neural networks for/in biological studies, artificial life and related topics (92B20) Robust stability (93D09) Stochastic functional-differential equations (34K50) Stochastic systems in control theory (general) (93E03)
Related Items (14)
Global asymptotic stability of Markovian jumping stochastic Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays ⋮ Robust stability analysis for Markovian jumping interval neural networks with discrete and distributed time-varying delays ⋮ \(H_{\infty}\) control for nonlinear stochastic systems with time-delay and multiplicative noise ⋮ Passivity analysis of neural networks with Markovian jumping parameters and interval time-varying delays ⋮ Robust convergence of Cohen-Grossberg neural networks with mode-dependent time-varying delays and Markovian jump ⋮ Global robust exponential stability for Hopfield neural networks with non-Lipschitz activation functions ⋮ Adaptive synchronization of Cohen-Grossberg neural networks with unknown parameters and mixed time-varying delays ⋮ Robust exponential stability for interval neural networks with delays and non-Lipschitz activation functions ⋮ Exponential synchronization for stochastic neural networks with mixed time delays and Markovian jump parameters via sampled data ⋮ Adaptive synchronization of Cohen-Grossberg neural network with mixed time-varying delays and stochastic perturbation ⋮ Stability analysis of fuzzy Markovian jumping Cohen-Grossberg BAM neural networks with mixed time-varying delays ⋮ Robust stability of uncertain Markovian jump discrete-time recurrent neural networks with time delays ⋮ Exponential stability of stochastic delayed neural networks with inverse Hölder activation functions and Markovian jump parameters ⋮ Sliding mode control for Markovian jumping systems with actuator nonlinearities
Cites Work
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- Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
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