Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality

Yang Liu; Rongjiang Yang; Jianquan Lu; Bo Wu; Xiushan Cai

Displaying similar documents to “Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality”

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Global exponential stability of impulsive dynamical systems with distributed delays.

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Stability analysis for neutral-type impulsive neural networks with delays

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By using linear matrix inequality (LMI) approach and Lyapunov functional method, we obtain some new sufficient conditions ensuring global asymptotic stability and global exponential stability of a generalized neutral-type impulsive neural networks with delays. A simulation example is provided to demonstrate the usefulness of the main results obtained. The main contribution in this paper is that a new neutral-type impulsive neural networks with variable delays is studied by constructing...

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Delay dependent complex-valued bidirectional associative memory neural networks with stochastic and impulsive effects: An exponential stability approach

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This paper investigates the stability in an exponential sense of complex-valued Bidirectional Associative Memory (BAM) neural networks with time delays under the stochastic and impulsive effects. By utilizing the contracting mapping theorem, the existence and uniqueness of the equilibrium point for the proposed complex-valued neural networks are verified. Moreover, based on the Lyapunov - Krasovskii functional construction, matrix inequality techniques and stability theory, some novel...