Abstract
In this paper, the asymptotic behaviors of non-autonomous difference neural network with impulses and distributed delays are studied by using difference inequality and properties of \(\mathcal {M}\)-matrix. Some new results on attracting set and periodic solution of networks are obtained.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Song, Q.K., Wang, Z.D.: A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays. Phys. Lett. A 368, 134–145 (2007)
Liu, Y.R., Wang, Z.D., Serrano, A., Liu, X.H.: Discrete-time recurrent neural networks with time-varying delays: exponential stability analysis. Phys. Lett. A 362, 480–488 (2007)
Zhang, B.Y., Xu, S.Y., Zou, Y.: Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays. Neurocomputing 72, 321–330 (2008)
Wu, Z.G., Su, H.Y., Chu, J., Zhou, W.N.: New results on robust exponential stability for discrete recurrent neural networks with time-varying delays. Neurocomputing 72, 3337–3342 (2009)
Udpin, S., Niamsup, P.: New discrete type inequalities and global stability of nonlinear difference equations. Appl. Math. Lett. 22, 856–859 (2009)
Yu, J.J., Zhang, K.J., Fei, S.M.: Exponential stability criteria for discrete-time recurrent neural networks with time-varying delay. Nonlinear Anal. Real World Appl. 11, 207–216 (2010)
Baker, C.T.H.: Development and application of halanay-type theory: evolutionary differential and difference equations with time lag. J. Comput. Appl. Math. 234, 2663–2682 (2010)
Song, Y.F., Shen, Y., Yin, Q.: New discrete halanay-type inequalities and applications. Appl. Math. Lett. 26, 258–263 (2013)
Hien, L.V.: A novel approach to exponential stability of nonlinear non-autonomous difference equations with variable delays. Appl. Math. Lett. 38, 7–13 (2014)
Yang, R., Wu, B., Liu, Y.: A halanay-type inequality approach to the stability analysis of discrete-time neural networks with delays. Appl. Math. Comput. 265, 696–707 (2015)
Feng, Z., Zheng, W.X.: On extended dissipativity of discrete-time neural networks with time delay. IEEE Trans. Neural Netw. Learn. Syst. 26, 3293–3300 (2015)
Banu, L.J., Balasubramaniam, P.: Robust stability analysis for discrete-time neural networks with time-varying leakage delays and random parameter uncertainties. Neurocomputing 179, 126–134 (2016)
Singh, J., Barabanov, N.: Stability of discrete time recurrent neural networks and nonlinear optimization problems. Neural Netw. 74, 58–72 (2016)
Zhu, W., Xu, D.Y., Yang, Z.C.: Global exponential stability of impulsive delay difference equation. Appl. Math. Comput. 181, 65–72 (2006)
Yang, Z.G., Xu, D.Y.: Mean square exponential stability of impulsive stochastic difference equations. Appl. Math. Lett. 20, 938–945 (2007)
Zhang, H., Chen, L.S.: Asymptotic behavior of discrete solutions to delayed neural networks with impulses. Neurocomputing 71, 1032–1038 (2008)
Song, Q.K., Cao, J.D.: Dynamical behaviors of discrete-time fuzzy cellular neural networks with variable delays and impulses. J. Franklin Inst. 345, 39–59 (2008)
Zhu, W.: Invariant and attracting sets of impulsive delay difference equations with continuous variables. Comput. Math. Appl. 55, 2732–2739 (2008)
Li, D.S., Long, S.J., Wang, X.H.: Difference inequality for stability of impulsive difference equations with distributed delays. J. Inequalities Appl. 8, 1–9 (2011)
Li, D.S., Long, S.J.: Attracting and quasi-invariant sets for A class of impulsive stochastic difference equations. Adv. Differ. Equ. 3, 1–9 (2011)
Li, B., Song, Q.K.: Asymptotic behaviors of non-autonomous impulsive difference equation with delays. Appl. Math. Model. 35, 3423–3433 (2011)
Zhang, Y.: Exponential stability analysis for discrete-time impulsive delay neural networks with and without uncertainty. J. Franklin Inst. 350, 737–756 (2013)
Acknowledgments
This work is supported by National Natural Science Foundation of China (11271270, 11501065), Scientific Research Fund of Sichuan Provincial Education Department (16TD0029), the Natural Science Foundation of Chongqing (cstc2015jcyjA00033), Project of Leshan Normal University (Z1324) and the Doctoral Foundation of Chongqing Jiaotong University (2014kjc-II-019).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Long, S., Li, B. (2016). Asymptotic Behaviors for Non-autonomous Difference Neural Networks with Impulses and Delays. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-40663-3_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40662-6
Online ISBN: 978-3-319-40663-3
eBook Packages: Computer ScienceComputer Science (R0)