1,782 research outputs found

    Almost periodic solutions of retarded SICNNs with functional response on piecewise constant argument

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    We consider a new model for shunting inhibitory cellular neural networks, retarded functional differential equations with piecewise constant argument. The existence and exponential stability of almost periodic solutions are investigated. An illustrative example is provided.Comment: 24 pages, 1 figur

    Asymptotic Stability and Exponential Stability of Impulsive Delayed Hopfield Neural Networks

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    A criterion for the uniform asymptotic stability of the equilibrium point of impulsive delayed Hopfield neural networks is presented by using Lyapunov functions and linear matrix inequality approach. The criterion is a less restrictive version of a recent result. By means of constructing the extended impulsive Halanay inequality, we also analyze the exponential stability of impulsive delayed Hopfield neural networks. Some new sufficient conditions ensuring exponential stability of the equilibrium point of impulsive delayed Hopfield neural networks are obtained. An example showing the effectiveness of the present criterion is given

    Global stability of Clifford-valued Takagi-Sugeno fuzzy neural networks with time-varying delays and impulses

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    summary:In this study, we consider the Takagi-Sugeno (T-S) fuzzy model to examine the global asymptotic stability of Clifford-valued neural networks with time-varying delays and impulses. In order to achieve the global asymptotic stability criteria, we design a general network model that includes quaternion-, complex-, and real-valued networks as special cases. First, we decompose the nn-dimensional Clifford-valued neural network into 2mn2^mn-dimensional real-valued counterparts in order to solve the noncommutativity of Clifford numbers multiplication. Then, we prove the new global asymptotic stability criteria by constructing an appropriate Lyapunov-Krasovskii functionals (LKFs) and employing Jensen's integral inequality together with the reciprocal convex combination method. All the results are proven using linear matrix inequalities (LMIs). Finally, a numerical example is provided to show the effectiveness of the achieved results

    БистСми Π΄ΠΈΡ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»Π½ΠΈ уравнСния ΠΈ Π½Π΅Π²Ρ€ΠΎΠ½Π½ΠΈ ΠΌΡ€Π΅ΠΆΠΈ със закъснСния ΠΈ импулси

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    Department of Mathematics & Statistics, College of Science, Sultan Qaboos University, Muscat, Sultanate of Oman ΠΈ ИМИ-БАН, 16.06.2014 Π³., ΠΏΡ€ΠΈΡΡŠΠΆΠ΄Π°Π½Π΅ Π½Π° Π½Π°ΡƒΡ‡Π½Π° стСпСн "Π΄ΠΎΠΊΡ‚ΠΎΡ€ Π½Π° Π½Π°ΡƒΠΊΠΈΡ‚Π΅" Π½Π° Π’Π°Π»Π΅Ρ€ΠΈΠΉ ΠšΠΎΠ²Π°Ρ‡Π΅Π² ΠΏΠΎ Π½Π°ΡƒΡ‡Π½Π° спСциалност 01.01.13. матСматичСско ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€Π°Π½Π΅ ΠΈ ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ Π½Π° ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠ°Ρ‚Π°. [Covachev Valery Hristov; ΠšΠΎΠ²Π°Ρ‡Π΅Π² Π’Π°Π»Π΅Ρ€ΠΈΠΉ Π₯ристов

    New Stability Criterion for Takagi-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Probabilistic Time-Varying Delays

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    A new global asymptotic stability criterion of Takagi-Sugeno fuzzy Cohen-Grossberg neural networks with probabilistic time-varying delays was derived, in which the diffusion item can play its role. Owing to deleting the boundedness conditions on amplification functions, the main result is a novelty to some extent. Besides, there is another novelty in methods, for Lyapunov-Krasovskii functional is the positive definite form of p powers, which is different from those of existing literature. Moreover, a numerical example illustrates the effectiveness of the proposed methods

    Global exponential stability of impulsive dynamical systems with distributed delays

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    In this paper, the global exponential stability of dynamical systems with distributed delays and impulsive effect is investigated. By establishing an impulsive differential-integro inequality, we obtain some sufficient conditions ensuring the global exponential stability of the dynamical system. Three examples are given to illustrate the effectiveness of our theoretical results

    Global Exponential Stability of Almost Periodic Solution for Neutral-Type Cohen-Grossberg Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses

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    A kind of neutral-type Cohen-Grossberg shunting inhibitory cellular neural networks with distributed delays and impulses is considered. Firstly, by using the theory of impulsive differential equations and the contracting mapping principle, the existence and uniqueness of the almost periodic solution for the above system are obtained. Secondly, by constructing a suitable Lyapunov functional, the global exponential stability of the unique almost periodic solution is also investigated. The work in this paper improves and extends some results in recent years. As an application, an example and numerical simulations are presented to demonstrate the feasibility and effectiveness of the main results
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