Abstract
In this paper, the stability of neural networks with both impulses and time-varying delays on time scale is investigated, the existence of Delta derivative of time-varying delays is not assumed. By employing time scale calculous theory, free weighting matrix method and linear matrix inequality (LMI) technique, a delay-dependent sufficient condition is obtained to ensure the stability of equilibrium point for neural networks with both impulses and time-varying delays on time scale. An example with simulations is given to show the effectiveness of the theory.
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Lv, Y., Zhou, B., Song, Q. (2011). Stability of Neural Networks with Both Impulses and Time-Varying Delays on Time Scale. 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_25
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DOI: https://doi.org/10.1007/978-3-642-21105-8_25
Publisher Name: Springer, Berlin, Heidelberg
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