1,782 research outputs found
Almost periodic solutions of retarded SICNNs with functional response on piecewise constant argument
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
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
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 -dimensional Clifford-valued neural network into -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
Π‘ΠΈΡΡΠ΅ΠΌΠΈ Π΄ΠΈΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»Π½ΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΈ Π½Π΅Π²ΡΠΎΠ½Π½ΠΈ ΠΌΡΠ΅ΠΆΠΈ ΡΡΡ Π·Π°ΠΊΡΡΠ½Π΅Π½ΠΈΡ ΠΈ ΠΈΠΌΠΏΡΠ»ΡΠΈ
Department of Mathematics & Statistics, College of Science, Sultan Qaboos University, Muscat, Sultanate of Oman ΠΈ ΠΠΠ-ΠΠΠ, 16.06.2014 Π³., ΠΏΡΠΈΡΡΠΆΠ΄Π°Π½Π΅ Π½Π° Π½Π°ΡΡΠ½Π° ΡΡΠ΅ΠΏΠ΅Π½ "Π΄ΠΎΠΊΡΠΎΡ Π½Π° Π½Π°ΡΠΊΠΈΡΠ΅" Π½Π° ΠΠ°Π»Π΅ΡΠΈΠΉ ΠΠΎΠ²Π°ΡΠ΅Π² ΠΏΠΎ Π½Π°ΡΡΠ½Π° ΡΠΏΠ΅ΡΠΈΠ°Π»Π½ΠΎΡΡ 01.01.13. ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠ°Π½Π΅ ΠΈ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ Π½Π° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ°ΡΠ°. [Covachev Valery Hristov; ΠΠΎΠ²Π°ΡΠ΅Π² ΠΠ°Π»Π΅ΡΠΈΠΉ Π₯ΡΠΈΡΡΠΎΠ²
New Stability Criterion for Takagi-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Probabilistic Time-Varying Delays
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
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
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
- β¦