×

Dynamical behaviors of fuzzy cellular neural networks with discrete time delays. (English) Zbl 1205.34097

Summary: This paper is concerned with the dynamical behavior of fuzzy cellular neural networks with discrete time delays. By constructing proper Lyapunov functional, applying inequality technique and the homeomorphism theory, some new sufficient conditions checking the existence, uniqueness of the equilibrium point and its global exponential stability are obtained for fuzzy cellular neural networks. The results of this paper are new and they complement previously known results, Moreover an example is given to show the effectiveness of the obtained results.

MSC:

34K36 Fuzzy functional-differential equations
34K20 Stability theory of functional-differential equations
34K13 Periodic solutions to functional-differential equations
92B20 Neural networks for/in biological studies, artificial life and related topics
Full Text: DOI

References:

[1] Chua L.O., Yang L.: Cellular neural networks: theory. IEEE Trans. Circuits SystI. 35, 1257-1272 (1988) · Zbl 0663.94022 · doi:10.1109/31.7600
[2] Chua L.O., Yang L.: Cellular neural networks: application. IEEE Trans. Circuits SystI. 35, 1273-1290 (1988) · doi:10.1109/31.7601
[3] Cao J.D.: Global stability analysis in delayed cellular networks. Phys. Rev. E 59, 5940-5944 (1999) · doi:10.1103/PhysRevE.59.5940
[4] Cao J.D., Zhou D.M.: Stability analysis of delayed cellular neural networks. Neural. Netw. 11, 1601-1605 (1998) · doi:10.1016/S0893-6080(98)00080-X
[5] Li X.M., Huang L.H., Zhu H.Y.: Global stability of cellular neural networks with constant and variable delays. Nonliner Anal. 53, 319-333 (2003) · Zbl 1011.92006 · doi:10.1016/S0362-546X(02)00176-1
[6] Huang H., Cao J.D., Wang J.: Global stability and periodic solutions of recurrent neural networks with delays. Phys. Lett. A 298, 393-404 (2002) · Zbl 0995.92007
[7] Zhao H.Y., Cao J.D.: New conditons for global exponential stability of cellular neural networks with delays. Neural. Netw. 18, 1332-1340 (2005) · Zbl 1083.68108 · doi:10.1016/j.neunet.2004.11.010
[8] Zhang J.Y.: Global stability analysis in delayed cellular neural networks. Comput. Math. Appl. 45, 1707-1720 (2003) · Zbl 1045.37057 · doi:10.1016/S0898-1221(03)00149-4
[9] Zhang J.Y.: Absolute stability analysis in cellular neural networks with variable delays and unbounded delay. Comput. Math. Appl. 47, 183-194 (2004) · Zbl 1052.45008 · doi:10.1016/S0898-1221(04)90015-6
[10] Jiang H.J., Teng Z.D.: Global exponential stability of cellular neural networks with time-varing coeffiences and delays. Neural. Netw. 17, 1415-1425 (2004) · Zbl 1068.68121 · doi:10.1016/j.neunet.2004.03.002
[11] Huang T.W., Cao J.D., Li C.D.: Necessary and sufficient condition for the absolute exponential stability of a class of neural networks with finite delay. Phys. Lett. A. 352, 94-98 (2006) · Zbl 1187.34100 · doi:10.1016/j.physleta.2005.11.038
[12] Yang T., Yang L.B.: The global stability of fuzzy cellular neural networks. IEEE Trans. Circuits SystI. 43, 880-883 (1996) · doi:10.1109/81.538999
[13] Yang, T., Yang, L.B., Wu, C.W., Chua, L.O.: Fuzzy cellular neural networks:theory. In: Proceedings of the IEEE International Workshop Cellular Neural Networks Applications, pp. 181-186 (1996)
[14] Huang T.W.: Exponential stability of fuzzy cellular neural networks with distributed delay. Phys. Lett. A 351, 48-52 (2006) · Zbl 1234.82016 · doi:10.1016/j.physleta.2005.10.060
[15] Liu Y.Q., Tang W.S.: Exponential stability of fuzzy cellular neural networks with costant and time-varying delays. Phys. Lett. A 323, 224-233 (2004) · Zbl 1118.81400 · doi:10.1016/j.physleta.2004.01.064
[16] Huang T.W.: Exponential stability of delayed fuzzy cellular neural networks with diffusion. Chaos, Solitons Fractals 31, 658-664 (2007) · Zbl 1138.35414 · doi:10.1016/j.chaos.2005.10.015
[17] Zhang Q.H., Xiang R.G.: Global asymptotic stability of fuzzy cellular neural networks with time-varying delays. Phys. Lett. A 372, 3971-3977 (2008) · Zbl 1220.34098 · doi:10.1016/j.physleta.2008.01.063
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.