Abstract
This paper deals with the problem of stability criterion of discrete-time recurrent neural networks with periodic delays. It is written as a discrete-time multi-switched liner system (DMSLS), applying the parameter and time dependent Lyapunov functions we obtain several new sufficient conditions and sufficient conditions for asymptotically stability of these systems.
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Yin, X., Wu, W., Tan, Q. (2011). Stability Criterion of Discrete-Time Recurrent Neural Networks with Periodic Delays. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24965-5_33
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DOI: https://doi.org/10.1007/978-3-642-24965-5_33
Publisher Name: Springer, Berlin, Heidelberg
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