Abstract
In this paper, robust exponential periodicity of a class of dynamical systems with time-varying parameters is introduced. Novel robust criteria to ensuring existence and uniqueness of periodic solution for a general class of neural systems are proposed without assuming the smoothness and boundedness of the activation functions. Which one is the best in previous results is addressed.
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© 2004 Springer-Verlag Berlin Heidelberg
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Sun, C., Li, X., Feng, CB. (2004). On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parameters. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_6
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DOI: https://doi.org/10.1007/978-3-540-28647-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22841-7
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