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Exponential synchronization of chaotic neural networks: a matrix measure approach. (English) Zbl 1169.92300

Summary: Based on matrix measures and the Halanay inequality, exponential synchronization of a class of chaotic neural networks with time-varying delays is investigated. Without constructing a Lyapunov function, some simple but generic criteria for exponential synchronization of chaotic neural networks are derived. It is shown that the obtained results are easy to verify and simple to implement in practice. Two examples are given to illustrate the effectiveness of the presented synchronization scheme.

MSC:

92B20 Neural networks for/in biological studies, artificial life and related topics
37N25 Dynamical systems in biology
68T05 Learning and adaptive systems in artificial intelligence
65C20 Probabilistic models, generic numerical methods in probability and statistics
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