Existence and Global Stability of a Periodic Solution for Discrete-Time Cellular Neural Networks
نویسندگان
چکیده
A novel sufficient condition is developed to obtain the discrete-time analogues of cellular neural network CNN with periodic coefficients in the three-dimensional space. Existence and global stability of a periodic solution for the discrete-time cellular neural network DT-CNN are analysed by utilizing continuation theorem of coincidence degree theory and Lyapunov stability theory, respectively. In addition, an illustrative numerical example is presented to verify the effectiveness of the proposed results.
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