Abstract
In this paper a class of recurrent neural networks with variable coefficients and mixed delays is considered. After introducing definitions and preliminary lemmas, we prove under convenient assumptions the existence of an almost automorphic solution of the considered model. Moreover, the global exponential stability of the almost automorphic solution is studied. In addition, two examples are also given to illustrate the theory.
Similar content being viewed by others
References
Ammar, B., Chérif, F., Adel, M., Alimi, M.A.: Existence and uniqueness of pseudo almost-periodic solutions of recurrent neural networks with time-varying coefficients and mixed delays. IEEE Trans. Neural Netw. Learn. Syst. 23(1), 109–118 (2012)
Bochner, S.: A new approach to almost periodicity. Proc. Natl. Acad. Sci. USA 48, 195–205 (1962)
Bochner, S.: Continuous mappings of almost automorphic and almost periodic functions. Proc. Natl. Acad. Sci. USA 52, 907–910 (1964)
Cao, J., Hang, H., Wang, J.: Global exponential stability and periodic solutions of recurrent neural networks with delays. Phys. Lett. A 298, 393–404 (2002)
Cao, J.: New results concerning exponential stability and periodic solutions of delayed cellular neural networks. Phys. Lett. A 307, 136–147 (2003)
Cao, J., Chen, A., Huang, X.: Almost periodic attraction of delayed neural networks with variable coefficients. Phys. Lett. A 340, 104–120 (2005)
Chérif, F.: Existence and global exponential stability of pseudo almost periodic solution for SICNNs with mixed delays. J. Appl. Math. Comput. 39, 235–251 (2012)
Diagana, T., Henriquez, H.R., Hernández, E.M.: Almost automorphic mild solutions to some partial neutral functional-differential equations and applications. Nonlinear Anal. Theory Methods Appl. 69, 1485–1493 (2008)
N’Guérékata, G.M.: Topics in Almost Automorphy. Springer Verlag, New York (2005)
Gopalsamy, K., He, X.-Z.: Delayed-independent stability in bidirectional associative memory networks. IEEE Trans. Neural Netw. 5, 998–1002 (1994)
Gui, Z., Ge, W., Yang, X.: Periodic oscillation for a Hopfield neural networks with neutral delays. Phys. Lett. A 364, 267–273 (2007)
Hale, J.K.: Theory of Functions Differential Equations. Springer, New York (1977)
Huang, H., Cao, J., Wang, J.: Global exponential stability and periodic solutions of recurrent cellular neural networks with delays. Phys. Lett. A 298, 393–404 (2002)
Huang, X., Cao, J., Ho, Daniel W.C.: Existence and attractivity of almost periodic solution for recurrent neural networks with unbounded delays and variable coefficients. Nonlinear Dyn. 45, 337–351 (2006)
Li, C., Liao, X.: New algebraic conditions for global exponential stability of delayed recurrent neural networks. Neurocomputing 64, 319–333 (2005)
Liu, Y., wang, Z., Liu, X.: Global exponential stability of generalized recurrent neural networks with discrete and distributed delays. Neural Netw. 19, 667–675 (2006)
Liu, B.: Almost periodic solutions for Hopfield neural networks with continuously distributed delays. Math. Comput. Simul. 73, 327–335 (2007)
Qin, S., Xue, X., Wang, P.: Global exponential stability of almost periodic solution of delayed neural networks with discontinuous activations. Inf. Sci. 220, 367–378 (2013)
Xiang, H., Cao, J.: Almost periodic solutions of recurrent neural networks with continuously distributed delays. Nonlinear Anal. 71, 6097–6108 (2009)
Zhao, H.: Global stability of bidirectional associative memory neural networks with distributed delays. Phys. Lett. A 297, 182–190 (2002)
Acknowledgments
The author wish to thank the anonymous reviewers for their insightful and constructive comments, which help to enrich the content and improve the presentation of this paper.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chérif, F. Sufficient Conditions for Global Stability and Existence of Almost Automorphic Solution of a Class of RNNs. Differ Equ Dyn Syst 22, 191–207 (2014). https://doi.org/10.1007/s12591-013-0168-4
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12591-013-0168-4