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. © 2011 Springer-Verlag.
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Li, B., & Song, Q. (2011). Invariant set and attractor of discrete-time impulsive recurrent neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6675 LNCS, pp. 411–419). https://doi.org/10.1007/978-3-642-21105-8_48
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