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Based on contraction mapping principle, inequality technique, global exponential stability of a class of BAM neural networks with distributed delays is considered. Some sufficient conditions are derived which ensure the existence, uniqueness, global exponential stability of equilibrium points of the neural networks. Finally, the obtained results are demonstrated with a numerical example.
By means of contraction mapping principle, inequality technique, global exponential stability of a class of BAM networks with delays is considered. Some sufficient conditions are obtained which ensure the existence, uniqueness, global exponential stability of equilibrium point of the networks. Finally, a numerical example is discussed in this paper to illustrate advantage of the results we derived.
This paper presents a general complex switched network (CSN) model that contains switching behaviors in both its nodes and topology configuration. Stabilization of such directed time-varying CSNs with two types of delays is investigated. The two types of delays consist of the system delay at each node and the coupling time-delay between nodes. Based on the Lyapunov stability theory, delay independent...
In this paper, a general complex switched network (CSN) model is presented. The model is more general than those in the literatures in which it contains switching behaviors on both its nodes and topology configuration. Robust stabilization of directed time-varying CSN with parametric uncertainties and two types of delays is investigated. The two types of delays consist of the system delay at each...
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