1. Cohen M, Grossberg S (1983) Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Trans Syst Man Cybern 3:815–826

   Article MathSciNet MATH  Google Scholar 

2. Wu X, Tang Y, Zhang W (2014) Stability analysis of switched stochastic neural networks with time-varying delays. Neural Netw 51:39–49

   Article MATH  Google Scholar 

3. Zhu Q, Cao J (2010) Robust exponential stability of Markovian jump impulsive stochastic Cohen–Grossberg neural networks with mixed time delays. IEEE Trans Neural Netw 21:1314–1325

   Article  Google Scholar 

4. Chen P, Hiang C, Liang X (2010) Stochastic stability of Cohen–Grossberg neural networks with unbounded distributed delays. Electron J Differ Equ 42:1–11

   MathSciNet  Google Scholar 

5. Chen Z, Zhad D, Ruan J (2007) Dynamic analysis of high-order Cohen–Grossberg neural networks with time delay. Chaos Solitons Fractals 32:1538–1546

   Article MathSciNet MATH  Google Scholar 

6. Balasubramaniam P, Syed Ali M (2010) Robust exponential stability of uncertain fuzzy Cohen–Grossberg neural networks with time-varying delays. Fuzzy Set Syst 161:608–618

   Article MathSciNet MATH  Google Scholar 

7. Haykin S (1994) Neural networks: a comprehensive foundation. Prentice-Hall, Upper Saddle River

   MATH  Google Scholar 

8. Balasubramaniam P, Syed Ali M, Arik S (2015) Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple time-varying delays. Expert Syst Appl 37:7737–7744

   Article  Google Scholar 

9. Cheng J, Zhu H, Ding Y, Zhong S, Zhong Q (2014) Stochastic finite-time boundedness for Markovian jumping neural networks with time-varying delays. Appl Math Comput 242:281–295

   MathSciNet MATH  Google Scholar 

10. Park MJ, Kwon OM, Park JuH, Lee SM, Cha EJ (2012) Synchronization criteria for coupled stochastic neural networks with time-varying delays and leakage delay. J Franklin Inst 349:1699–1720

    Article MathSciNet MATH  Google Scholar 

11. Kwon OM, Lee SM, Park JuH (2010) Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays. Phys Lett A 374:1232–1241

    Article MATH  Google Scholar 

12. Shi P, Zhang Y, Agarwal RK (2015) Stochastic finite-time state estimation for discrete time-delay neural networks with Markovian jumps. Neurocomputing 151:168–174

    Article  Google Scholar 

13. Zhang H, Wang Y (2008) Stability analysis of Markovian jumping stochastic Cohen–Grossberg neural networks with mixed time delays. IEEE Trans Neural Netw 19:366–370

    Article  Google Scholar 

14. Shan QH, Wang Z (2012) Improved stability results for stochastic Cohen–Grossberg neural networks with discrete and distributed delays. Neural Process Lett 35:103–129

    Article  Google Scholar 

15. Bao H (2016) Existence and exponential stability of periodic solution for BAM fuzzy Cohen–Grossberg neural networks with mixed delays. Neural Process Lett 43:871–885

    Article  Google Scholar 

16. Du Y, Xu R (2015) Multistability and multiperiodicity for a class of Cohen–Grossberg BAM neural networks with discontinuous activation functions and time delays. Neural Process Lett 42:417–435

    Article  Google Scholar 

17. Wang Z, Liu Y, Li M, Liu X (2006) Stability analysis for stochastic Cohen–Grossberg neural networks with mixed time delays. IEEE Trans Neural Netw 17:814–820

    Article  Google Scholar 

18. Dong M, Zhang H, Wang Y (2009) Dynamics analysis of impulsive stochastic Cohen–Grossberg neural networks with Markovian jumping and mixed time delays. Neurocomputing 72:1999–2004

    Article  Google Scholar 

19. Chen M, Yang X, Shen H, Yao F (2016) Finite-time asynchronous\(H_\infty \) control for Markov jump repeated scalar non-linear systems with input constraints. Appl Math Comput 275:172–180

    MathSciNet  Google Scholar 

20. Li F, Shen H (2015) Finite-time\(H_\infty \) synchronization control for semi-Markov jump delayed neural networks with randomly occurring uncertainties. Neurocomputing 166:447–454

    Article  Google Scholar 

21. Zhu Q, Cao J, Hayat T, Alsaadi F (2015) Robust stability of Markovian jump stochastic neural networks with time delays in the leakage terms. Neural Process Lett 41:1–27

    Article  Google Scholar 

22. Chen M, Zhang L, Shen H (2016) Resilient\(H_\infty \) filtering for discrete-time uncertain Markov jump neural networks over a finite-time interval. Neurocomputing 185:212–219

    Article  Google Scholar 

23. Syed Ali M (2015) Stability of Markovian jumping recurrent neural networks with discrete and distributed time-varying delays. Neurocomputing 149:1280–1285

    Article  Google Scholar 

24. Kao YG, Xie J, Wang CH (2014) Stabilisation of mode-dependent singular Markovian jump systems with generally uncertain transition rates. Appl Math Comput 245:243–254

    MathSciNet MATH  Google Scholar 

25. Kao YG, Wang CH, Xie J, Karimi HR, Li W (2014)\(H_\infty \) sliding mode control for uncertain neutral-type stochastic systems with Markovian jumping parameters. Inf Sci 314:200–211

    Article MathSciNet  Google Scholar 

26. Liu H, Shen Y, Zhao XD (2013) Finite-time stabilization and boundedness of switched linear system under state-dependent switching. J Franklin Inst 350:541–555

    Article MathSciNet MATH  Google Scholar 

27. Chen GP, Yang Y (2014) Finite-time stability of switched positive linear systems. Int J Robust Nonlinear Control 24:179–190

    Article MathSciNet MATH  Google Scholar 

28. Zhang JF, Yang Y (2014) Robust finite-time stability and stabilization of switched positive systems. IET Control Theory Appl 8:67–75

    Article MathSciNet  Google Scholar 

29. He SP, Liu F (2013) Finite-time boundedness of uncertain time-delayed neural network with Markovian jumping parameters. Neurocomputing 103:87–92

    Article  Google Scholar 

30. Wang S, Ma C, Zeng M, Yu Z, Liu Y (2014) Finite-time boundedness of uncertain switched time-delay neural networks with mode-dependent average dwell time. In: IEEE transactions on control conference (CCC), pp 4078–4083

31. Zhang YQ, Shi P, Nguang SK, Zhang JH, Karimi HR (2014) Finite-time boundedness for uncertain discrete neural networks with time-delays and Markovian jumps. Neurocomputing 140:1–7

    Article  Google Scholar 

32. Cheng J, Zhong S, Zhong Q, Zhu H, Du YH (2014) Finite-time boundedness of state estimation for neuralnetworks with time-varying delays. Neurocomputing 129:257–264

    Article  Google Scholar 

33. Cheng J, Zhu H, Zhong S, Zeng Y, Hou L (2014) Finite-time\(H_\infty \) filtering for a class of discrete-time Markovian jump systems with partly unknown transition probabilities. Int J Adapt Control Signal Process 28:1024–1042

    Article MathSciNet MATH  Google Scholar 

34. Franceschelli M, Giua A, Pisano A, Usai E (2013) Finite-time consensus for switching network topologies with disturbances. Nonlinear Anal 10:83–93

    MathSciNet MATH  Google Scholar 

35. Gu K, Kharitonov VL, Chen J (2003) Stability of time delay systems. Birkhuser, Boston

    Book MATH  Google Scholar 

36. Ahn CK (2010) An\(H_\infty \) approach to stability analysis of switched Hopfield neural networks with time-delay. Nonlinear Dyn 60:703–711

    Article MathSciNet MATH  Google Scholar 

37. Ahn CK (2011) Switched exponential state estimation of neural networks based on passivity theory. Nonlinear Dyn 67:573–586

    Article MathSciNet MATH  Google Scholar 

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