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Delay-dependent criteria for robust stability of uncertain switched Hopfield neural networks

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Abstract

This paper deals with the problem of delay-dependent robust stability for a class of switched Hopfield neural networks with time-varying structured uncertainties and time-varying delay. Some Lyapunov-Krasovskii functionals are constructed and the linear matrix inequality (LMI) approach and free weighting matrix method are employed to devise some delay-dependent stability criteria which guarantee the existence, uniqueness and global exponential stability of the equilibrium point for all admissible parametric uncertainties. By using Leibniz-Newton formula, free weighting matrices are employed to express this relationship, which implies that the new criteria are less conservative than existing ones. Some examples suggest that the proposed criteria are effective and are an improvement over previous ones.

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References

  1. S. Arik. Stability Analysis of Delayed Neural Networks. IEEE Transactions on Circuits and Systems Part I: Regular Papers, vol. 47, no. 7, pp. 1089–1092, 2000.

    Article  MATH  Google Scholar 

  2. X. F. Liao, G. Chen, E. N. Sanchez. LMI-based Approach for Asymptotically Stability Analysis of Delayed Neural Networks. IEEE Transactions on Circuits and Systems — Part I, vol. 49, no. 7, pp. 1033–1039, 2002.

    Article  Google Scholar 

  3. M. Forti. On global Asymptotic Stability of a Class of Nonlinear Systems Arising in Neural Network Theory. Journal of Differential Equations, vol. 113, no. 1, pp. 246–264, 1994.

    Article  MATH  Google Scholar 

  4. K. Gopalsamy, X. Z. He. Stability in Asymmetric Hopfield Nets with Transmission Delays. Physica D: Nonlinear Phenomena, vol. 76, no. 4, pp. 344–358, 1994.

    Article  MATH  Google Scholar 

  5. M. Joy. Results Concerning the Absolute Stability of Delayed Neural Networks. Neural Networks, vol. 13, no. 6, pp. 613–616, 2000.

    Article  Google Scholar 

  6. T. P. Chen, L. B. Rong. Delay-independent Stability Analysis of Cohen-Grossberg Neural Networks. Physics Letters A, vol. 317, no. 5–6, pp. 436–449, 2003.

    MATH  Google Scholar 

  7. X. F. Liao, C. G. Li, K. W. Wong. Criteria for Exponential Stability of Cohen-Grossberg Neural Networks. Neural Networks, vol. 17, no. 10, pp. 1401–1414, 2004.

    Article  MATH  Google Scholar 

  8. J. Cao. Periodic Oscillation and Exponential Stability of Delayed CNNs. Physics Letters A, vol. 270, no. 3–4, pp. 157–163, 2000.

    Article  Google Scholar 

  9. J. D. Cao. Global Stability Conditions for Delayed CNNs. IEEE Transactions on Circuits and Systems — Part I, vol. 48, no. 11, pp. 1330–1333, 2001.

    Article  MATH  Google Scholar 

  10. J. D. Cao, D. M. Zhou. Stability Analysis of Delayed Cellular Neural Networks. Neural Networks, vol. 11, no. 9, pp. 1601–1605, 1998.

    Article  Google Scholar 

  11. J. D. Cao, X. L. Li. Stability in Delayed Cohen-Grossberg Neural Networks: LMI Optimization Approach. Physica D: Nonlinear Phenomena, vol. 212, no. 1–2, pp. 54–65, 2005.

    Article  MATH  Google Scholar 

  12. X. Y. Lou, B. T. Cui. Novel Global Stability Criteria for Highorder Hopfield-type Neural Networks with Time-varying Delays. Journal of Mathematical Analysis and Applications, vol. 330, no. 1, pp. 144–158, 2007.

    Article  MATH  Google Scholar 

  13. X. Y. Lou, B. T. Cui. Stochastic Exponential Stability for Markovian Jumping BAM Neural Networks with Time-varying Delays. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, vol. 37, no. 3, pp. 713–719, 2007.

    Article  Google Scholar 

  14. Y. He, Q. G. Wang, M. Wu. LMI-based Stability Criteria for Neural Networks with Multiple Time-varying Delays. Physica D: Nonlinear Phenomena, vol. 212, no. 1–2, pp. 126–136, 2005.

    Article  MATH  Google Scholar 

  15. X. F. Liao, G. Chen, E. N. Sanchez. Delay-dependent Exponential Stability Analysis of Delayed Neural Networks: an LMI Approach. Neural Networks, vol. 15, no. 7, pp. 855–866, 2002.

    Article  Google Scholar 

  16. Y. He, M. Wu, J. H. She. Delay-dependent Exponential Stability of Delayed Neural Networks with Time-varyind Delay. IEEE Transactions on Circuits and Systems Part II: Express Briefs, vol. 53, no. 7, pp. 553–557, 2006.

    Article  Google Scholar 

  17. S. Boyd, L. Ghaoui, E. Feron, V. Balakrishnan. Linear Matrix Inequalities in System and Control Theory — SIAM Stidies in Applied Mathematics, Society for Industrial Mathematics, Philadelphia, Pennsylvania, 1994.

    Google Scholar 

  18. H. Ye, A. N. Michel. Robust Stability of Nonlinear Timedelay Systems with Applications to Neural Networks. IEEE Transactions on Circuits and Systems Part I: Regular Papers, vol. 43, no. 7, pp. 532–543, 1996.

    Article  Google Scholar 

  19. X. Liao, J. Yu. Robust Stability for Interval Hopfield Neural Networks with Time-delay. IEEE Transactions on Neural Networks, vol. 9, no. 1, pp. 1042–1045, 1998.

    Article  Google Scholar 

  20. X. Y. Lou, B. T. Cui. Robust Exponential Stabilization of a Class of Delayed Neural Networks with Reaction Diffuusion Terms. International Journal of Neural Systems, vol. 16, no. 6, pp. 435–443, 2006.

    Article  Google Scholar 

  21. S. Arik. Global Robust Stability of Delayed Neural Networks. IEEE Transactions on Circuits and Systems Part I: Regular Papers, vol. 50, no. 1, pp. 156–160, 2003.

    Article  Google Scholar 

  22. C. D. Li, X. F. Liao, R. Zhang, A. Prasad. Global Robust Exponential Stability Analysis for Interval Neural Networks with Time-varying Delays. Chaos, Solitons & Fractals, vol. 25, no. 3, pp. 751–757, 2005.

    Article  MATH  Google Scholar 

  23. J. D. Cao, D. S. Huang, Y. Z. Qu. Global Robust Stability of Delayed Recurrent Neural Networks. Chaos, Solitons & Fractals, vol. 23, no. 1, pp. 221–229, 2005.

    Article  MATH  Google Scholar 

  24. J. D. Cao, H. X. Li, L. Han. Novel Results Concerning Global Robust Stability of Delayed Neural Networks. Nonlinear Analysis: Real World Applications, vol. 7, no. 3, pp. 458–469, 2006.

    Article  MATH  Google Scholar 

  25. N. H. Farra, P. Mhaskar, P. D. Christofides. Output Feedback Control of Switched Nonlinear Systems Using Multiple Lyapunov Functions. Systems & Control Letters, vol. 54, no. 12, pp. 1163–1182, 2005.

    Article  MATH  Google Scholar 

  26. P. Peleties, R. DeCarlo. Asymptotic Stability of M-switched Systems Using Lyapunov-like Functions. In Proceedings of American Control Conference, Boston, Massachusetts, USA, pp. 1679–1684, 1991.

  27. M. S. Branicky. Multiple Lyapunov Functions and Other Analysis Tools for Switched and Hybrid Systems. IEEE Transactions on Automatic Control, vol. 43, no. 4, pp. 475–482, 1998.

    Article  MATH  Google Scholar 

  28. J. P. Hespanha, A. S. Morse. Stability of Switched Systems with Average Dwell Time, In Proceedings of 38th IEEE Conference on Decision and Control, IEEE, Arizona, USA, pp. 2655–2660, 1999.

    Google Scholar 

  29. D. Liberzon, A. S. Morse. Basic Problems in Stability and Design of Switched Systems. IEEE Control Systems Magazine, vol. 19, no. 5, pp. 59–70, 1999.

    Article  Google Scholar 

  30. M. Demetriou, N. Kazantzis. A New Actuator Activation Policy for Performance Enhancement of Controlled Diffusion Processes. Automatica, vol. 40, no. 3, pp. 415–421, 2004.

    Article  MATH  Google Scholar 

  31. B. Hu, X. Xu, P. J. Antsaklis, A. N. Michel. Robust Stabilizing Control Law for a Class of Second-order Switched Systems. Systems & Control Letters, vol. 38, no. 3, pp. 197–207, 1999.

    Article  MATH  Google Scholar 

  32. M. A. Wicks, P. Peleties, R. A. DeCarlo. Switched Controller Synthesis for the Quadratic Stabilization of a Pair of Unstable Linear Systems. European Journal of Control, vol. 4, no. 2, pp. 140–147, 1998.

    MATH  Google Scholar 

  33. H. Huang, Y. Z. Qu, H. X. Li. Robust Stability Analysis of Switched Hopfield Neural Networks with Time-varying Delay Under Uncertainty. Physics Letters A, vol. 345, no. 4–6, pp. 345–354, 2005.

    Article  Google Scholar 

  34. D. Yue, Q. L. Han. Delayed Feedback Control of Uncertain Systems with Time-varying Input Delay. Automatica, vol. 41, no. 2, pp. 233–240, 2005.

    Article  MATH  Google Scholar 

  35. Y. He, M. Wu, J. H. She, G. P. Liu. Delay-dependent Robust Stability Criteria for Uncertain Neutral Systems with Mixed Delays. Systems & Control Letters, vol. 51, no. 1, pp. 57–65, 2004.

    Article  MATH  Google Scholar 

  36. Y. He, M. Wu, J. H. She, G. P. Liu. Parameter-dependent Lyapunov Functional for Stability of Time-delay Systems with Polytopic Type Uncertainties. IEEE Transactions on Automatic Control, vol. 49, no. 5, pp. 828–832, 2004.

    Article  Google Scholar 

  37. M. Wu, Y. He, J. H. She. New Delay-dependent Stability Criteria and Stabilizing Method for Neutral Systems. IEEE Transactions on Automatic Control, vol. 49, no. 12, pp. 2266–2271, 2004.

    Article  Google Scholar 

  38. M. Wu, Y. He, J. H. She, G. P. Liu. Delay-dependent Criteria for Robust Stability of Time-varying Delay Dystems. Automatica, vol. 40, no. 8, pp. 1435–1439, 2004.

    Article  MATH  Google Scholar 

  39. P. Gahinet, A. Nemirovski, A. J. Laub, M. Chilali. LMI Control Toolbox-for Use with Matlab, The MathWorks Incorporated, Massachusetts, USA, 1995.

    Google Scholar 

  40. S. H. Lee, T. H. Kim, J. T. Lim. A New Stability Analysis of Switched Systems. Automatica, vol. 36, no. 6, pp. 917–922, 2000.

    Article  MATH  Google Scholar 

  41. L. Xie. Output Feedback H Control of Systems with Parameter Uncertainty. International Journal of Control, vol. 63, no. 4, pp. 741–750, 1996.

    Article  MATH  Google Scholar 

  42. M. S. Mahmoud, P. Shi. Robust Stability, Stabilization and H Control of Time-delay Systems with Markovian Jump Parameters. International Journal of Robust and Nonlinear Control, vol. 13, no. 8, pp. 755–784, 2003.

    Article  MATH  Google Scholar 

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Correspondence to Bao-Tong Cui.

Additional information

This work is supported by the National Natural Science Foundation of China (No. 60674026) and the Key Research Foundation of Science and Technology of the Ministry of Education of China (No. 107058).

Xuyang Lou Ph.D candidate at College of Communication and Control Engineering, Jiangnan University, China. He received the B.S. degree from the Zhejiang Ocean University, China, in 2004. He has more than 30 academic journals papers been published or accepted from 2005.

His current research interests include dynamics of neural networks and chaos synchronization.

Baotong Cui received the Ph.D. degree in control theory and control engineering from the College of Automation Science and Engineering, South China University of Technology, China, in 2003. He was a post-doctoral fellow at Shanghai Jiaotong University, China, from 2003 to 2005. He joined the Department of Mathematics, Binzhou University, Shandong, China in 1980, where he became an associate professor in 1993 and a professor in 1995. In 2003, he moved to the Jiangnan University, China, where he is a professor of College of Communication and Control Engineering.

His current research interests include systems analysis, stability theory, artificial neural networks, impulsive control, and chaos synchronization.

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Lou, XY., Cui, BT. Delay-dependent criteria for robust stability of uncertain switched Hopfield neural networks. Int J Automat Comput 4, 304–314 (2007). https://doi.org/10.1007/s11633-007-0304-0

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  • DOI: https://doi.org/10.1007/s11633-007-0304-0

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