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Considering the importance of the SF6 extra high voltage circuit breakers in the power supply system, an intelligent monitoring system is developed. And a historical database system is designed for this monitoring system in this article. This historical database can store and manage such information as historical data, historical fault information, report and device information, etc. Furthermore,...
This paper provided a new sufficient condition for the global asymptotic stability of cellular neural networks (CNNs) with time delays. An asymptotic stability of CNNs with time delays was considered by constructing a new suitable Lyapunov functional and some matrix inequality technique. A novel delay-independent stability criterion which considered the excitatory and inhibitory connection was given...
In this paper, the global stability of Hopfield neural networks with time-varying delays is investigated by utilizing Lyapunov functional method and the linear matrix inequality (LMI) technique. Distinct difference from other analytical approach lies in ldquolinearizationrdquo of neural network model, by which the considered neural network model is transformed into a linear time-variant system. Then,...
Synchronization stability in complex dynamical networks with coupling delays is investigated. Nonlinear complex network system is transformed to linear system. A new criterion for global synchronization stability for the complex networks with coupling delays has been derived using an approach combining the Lyapunov-Krasovskii functional with LMI techniques. The results are related to the size of delays...
This paper studies global asymptotic stability of a general class of neural networks with time delays by utilizing Razumikhin theorem and the linear matrix inequality technique. Distinct difference from other analytical approaches lies in ldquolinearizationrdquo of the neural network model, by which the considered neural network model is transformed into a linear time-variant system. New sufficient...
A delayed differential equation modeling a single neuron with time delay and external exciting is considered in this paper. The method to study Hopf bifurcation and periodic solution is researched by using the closed form with the aid of the center manifold and averaging theorem.
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