Abstract
This paper is concerned with a class of nonlinear uncertain switched networks with discrete time-varying delays . Based on the strictly complete property of the matrices system and the delay-decomposing approach, exploiting a new Lyapunov–Krasovskii functional decomposing the delays in integral terms, the switching rule depending on the state of the network is designed. Moreover, by piecewise delay method, discussing the Lyapunov functional in every different subintervals, some new delay-dependent robust stability criteria are derived in terms of linear matrix inequalities, which lead to much less conservative results than those in the existing references and improve previous results. Finally, an illustrative example is given to demonstrate the validity of the theoretical results.
Similar content being viewed by others
References
Balasubramaniam P, Vembarasan V, Rakkiyappan R (2011) Leakage delays in T–S fuzzy cellular neural networks. Neural Process Lett 33:111–136
Boyd S, Ghaoui LE, Feron E, Balakrishnan V (1994) Linear matrix inequalities in system and control theory. SIAM, Philadelphia
Brown TX (1989) Neural networks for switching. IEEE Commun Mag 27(11):72–81
Han QL, Yue D (2007) Absolute stability of Lur’e systems with time-varying delay. Control Theory Appl IET 1(3):854–859
He W, Cao J (2008) Robust stability of genetic regulatory networks with distributed delay. Cogn Neurodyn 2(4):355–361
Hu J, Wang Z (2011) A delay fractioning approach to robust sliding mode control for discrete-time stochastic systems with randomly occurring non-linearities. IMA J Math Control Inf 28:345–363
Huang H, Qu Y, Li H (2005) Robust stability analysis of switched Hopfield neural networks with time-varying delay under uncertainty. Phys Lett A 345(4–6):345–354
Li P, Cao J (2007) Global stability in switched recurrent neural networks with time-varying delay via nonlinear measure. Nonlinear Dyn 49(1–2):295–305
Lian J, Zhang K (2011) Exponential stability for switched Cohen–Grossberg neural networks with average dwell time. Nonlinear Dyn 63:331–343
Liberzon D (2003) Switching in systems and control. Springer, Berlin
Liu X, Cao J (2011) Local synchronization of one-to-one coupled neural networks with discontinuous activations. Cogn Neurodyn 5(1):13–20
Liu H, Chen G (2007) Delay-dependent stability for neural networks with time-varying delay. Chaos Solitons Fractals 33(1):171–177
Liu L, Han Z, Li W (2009) Global stability analysis of interval neural networks with discrete and distributed delays of neutral-type. Expert Syst Appl Part 2 36(3):7328–7331
Niamsup P, Phat VN (2010) A novel exponential stability condition of hybrid neural networks with time-varying delay. Vietnam J Math 38(3):341–351
Phat VN, Trinh H (2010) Exponential stabilization of neural networks with various activation functions and mixed time-varying delays. IEEE Trans Neural Netw 21(7):1180–1184
Ratchagit K, Phat VN (2011) Stability and stabilization of switched linear discrete-time systems with interval time-varying delay. Nonlinear Anal Hybrid Syst 5:605–612
Shen J, Cao J (2011) Finite-time synchronization of coupled neural networks via discontinuous controllers. Cogn Neurodyn 5(4):373–385
Thanha N, Phat V (2013) Decentralized stability for switched nonlinear large-scale systems with interval time-varying delays in interconnections. Nonlinear Anal Hybrid Syst 11:22–36
Uhlig F (1979) A recurring theorem about pairs of quadratic forms and extensions. Linear Algebra Appl 25:219–237
Wang Y, Wang Z, Liang J (2008) Delay fractioning approach to global synchronization of delayed complex networks with stochastic disturbances. Phys Lett A 372(39):6066–6073
Wang Y, Yang C, Zuo Z (2012) On exponential stability analysis for neural networks with time-varying delays and general activation functions. Commun Nonlinear Sci Numer Simulat 17:1447–1459
Xu H, Wu H, Li N (2012) Switched exponential state estimation and robust stability for interval neural networks with discrete and distributed time delays. Abstr Appl Anal 20 ID:103542. doi:10.1155/2012/103542
Ye H, Michel AN, Hou L (1998) Stability theory for hybrid dynamical systems. IEEE Trans Autom Control 43(4):461–474
Yue D (2004) Robust stabilization of uncertain systems with unknown input delay. Automatica 40:331–336
Zeng H, He Y, Wu M, Zhang C (2011) Complete delay-decomposing approach to asymptotic stability for neural networks with time-varying delays. IEEE Trans Neural Netw 22(5):806–811
Zhang W, Yu L (2009) Stability analysis for discrete-time switched time-delay systems. Automatica 45(10):2265–2271
Zhang Y, Yue D, Tian E (2009) New stability criteria of neural networks with interval time-varying delay: a piecewise delay method. Appl Math Comput 208:249–259
Zhang H, Liu Z, Huang GB, Wang Z (2010) Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay. IEEE Trans Neural Netw 21(1):91–106
Acknowledgments
The work was funded by the National Natural Science Foundation of China under Grant 61272530, the Natural Science Foundation of Jiangsu Province of China under Grant BK2012741, the Specialized Research Fund for the Doctoral Program of Higher Education under Grant 20110092110017 and 20130092110017 and supported by “the Fundamental Research Funds for the Central Universities”, the JSPS Innovation Program under Grant CXLX13_075.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, N., Cao, J. & Hayat, T. Delay-decomposing approach to robust stability for switched interval networks with state-dependent switching. Cogn Neurodyn 8, 313–326 (2014). https://doi.org/10.1007/s11571-014-9279-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11571-014-9279-z