Abstract
In this paper, we study the invariant set and attractor of the discrete-time impulsive recurrent neural networks (DIRNNs). By using a powerful delay difference inequality and properties of nonnegative matrices, we get some sufficient criteria to determine the invariant set and attractor of DIRNNs. Some examples demonstrate the efficiency.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, B., Song, Q. (2011). Invariant Set and Attractor of Discrete-Time Impulsive Recurrent Neural Networks. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21105-8_48
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DOI: https://doi.org/10.1007/978-3-642-21105-8_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21104-1
Online ISBN: 978-3-642-21105-8
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