Global Exponential Periodicity of Discrete-Time Complex-Valued Neural Networks With Time-Delays

HU Jin; SONG Qian-kun

doi:10.3879/j.issn.1000-0887.2013.09.006

Volume 34 Issue 9

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HU Jin, SONG Qian-kun. Global Exponential Periodicity of Discrete-Time Complex-Valued Neural Networks With Time-Delays[J]. Applied Mathematics and Mechanics, 2013, 34(9): 929-940. doi: 10.3879/j.issn.1000-0887.2013.09.006

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Global Exponential Periodicity of Discrete-Time Complex-Valued Neural Networks With Time-Delays

doi: 10.3879/j.issn.1000-0887.2013.09.006

School of Science, Chongqing Jiaotong University, Chongqing 400074, P.R.China

Funds: The National Natural Science Foundation of China(61273021)

Received Date: 2013-06-13
Rev Recd Date: 2013-06-22
Publish Date: 2013-09-15

Abstract

Abstract

Since the last decade, complex-valued neural networks have been rapidly developed and applied in various research areas, but few research has been done on the periodicity on discrete-time complex-valued neural networks.The periodicity of discrete-time complex-valued neural networks with time-delays was investigated.With the discretization technique, the discrete-time analogue of the continuous-time system with periodic input was formulated, and a sufficient condition for checking the global exponential periodicity of the considered neural networks was obtained. Numeric simulation verifieds validity of the analysis.
- discrete-time,
- complex-valued neural networks,
- time-delay,
- global exponential periodicity

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References(20)

References

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