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Exponential \(H_{\infty }\) Synchronization of Lur’e Complex Dynamical Networks Using Pinning Sampled-Data Control

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Abstract

This study is concerned with the exponential \(H_{\infty }\) synchronization criteria for complex dynamical networks of Lur’e- type systems with non-delay and delay couplings as well as external disturbances. The pinning sampled-data control is designed to achieve synchronization, in which only the selection of nodes is controlled, instead of the whole network. By constructing an improved Lyapunov–Krasovskii functional and utilizing the reciprocal convex method, the sufficient conditions are expressed in terms of linear matrix inequalities to ensure synchronization of the proposed network with a guaranteed \(H_{\infty }\) performance. Different from most existing studies, the addressed synchronization criteria depend not only on the upper bounds of the sampling intervals but also on the lower bounds; therefore, potentially leading to reduced conservative criteria. The desired control gain matrices are calculated by solving the obtained linear matrix inequalities that guarantee the exponential stability of the error system under the \(H_{\infty }\) norm. Finally, the effectiveness of the proposed method is demonstrated through numerical simulations.

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References

  1. A. Arenas, A. Diaz-Guilera, J. Kurths, Y. Moreno, C. Zhou, Synchronization in complex networks. Phys. Rep. 469, 93–153 (2008)

    Article  MathSciNet  Google Scholar 

  2. W.H. Chen, Z. Jiang, X. Lu, S. Luo, \(H_{\infty }\) synchronization for complex dynamical networks with coupling delays using distributed impulsive control. Nonlinear Anal. Hybrid Syst. 17, 111–127 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  3. C. Chen, Z. Liu, K. Xie, Y. Liu, Y. Zhang, C.L.P. Chen, Adaptive fuzzy asymptotic control of MIMO systems with unknown input coefficients via a robust Nussbaum gain based approach. IEEE Trans. Fuzzy Syst. (2016). doi:10.1109/TFUZZ.2016.2604848

  4. Z. Chen, K. Shi, S. Zhong, New synchronization criteria for complex delayed dynamical networks with sampled-data feedback control. ISA Trans. 63, 154–169 (2016)

    Article  Google Scholar 

  5. W.H. Chen, D. Wei, X. Lu, Global exponential synchronization of nonlinear time-delay Lur’e systems via delayed impulsive control. Commun. Nonlinear Sci. Numer. Simul. 19, 3298–3312 (2014)

    Article  MathSciNet  Google Scholar 

  6. R. Cheng, M. Peng, W. Yu, Pinning synchronization of delayed complex dynamical networks with nonlinear coupling. Phys. A 413, 426–431 (2014)

    Article  MathSciNet  Google Scholar 

  7. C. Ge, Z. Li, X. Huang, C. Shi, New globally asymptotical synchronization of chaotic systems under sampled-data controller. Nonlinear Dyn. 78, 2409–2419 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  8. H. Huang, G. Feng, Robust \(H_{\infty }\) synchronization of chaotic Lur’e systems. Chaos 18, 033113 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  9. D.H. Ji, J.H. Park, W.J. Yoo, S.C. Won, S.M. Lee, Synchronization criterion for Lur’e type complex dynamical networks with time-varying delay. Phys. Lett. A 374, 1218–1227 (2010)

    Article  MATH  Google Scholar 

  10. H.R. Karimi, A sliding mode approach to \(H_\infty \) synchronization of masterslave time-delay systems with Markovian jumping parameters and nonlinear uncertainties. J. Franklin Inst. 349, 1480–1496 (2012)

  11. H.R. Karimi, H. Gao, LMI-based \(H_\infty \) synchronization of second-order neutral master-slave systems using delayed output feedback control. Int. J. Control Autom. Syst. 7, 371–380 (2009)

    Article  Google Scholar 

  12. H.R. Karimi, H. Gao, New delay-dependent exponential \(H_{\infty }\) synchronization for uncertain neural networks with mixed time delays. IEEE Trans. Syst. Man Cybern. B Cybern. 40, 173–185 (2010)

    Article  Google Scholar 

  13. H.R. Karimi, P. Maass, Delay-range-dependent exponential \(H_\infty \) synchronization of a class of delayed neural networks. Chaos Solitons Fractals 41, 1125–1135 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  14. O.M. Kwon, J.H. Park, S.M. Lee, On robust stability criterion for dynamic systems with time-varying delays and nonlinear perturbations. Appl. Math. Comput. 203, 937–942 (2008)

    MathSciNet  MATH  Google Scholar 

  15. H. Li, \(H_{\infty }\) cluster synchronization and state estimation for complex dynamical networks with mixed time delays. Appl. Math. Model. 37, 7223–7244 (2013)

    Article  MathSciNet  Google Scholar 

  16. D. Li, Z. Wang, G. Ma, C. Ma, Non-fragile synchronization of dynamical networks with randomly occurring nonlinearities and controller gain fluctuations. Neurocomputing 168, 719–725 (2015)

    Article  Google Scholar 

  17. T. Li, T. Wang, X. Yang, S. Fei, Pinning cluster synchronization for delayed dynamical networks via kronecker product. Circuits Syst. Signal Process. 32, 1907–1929 (2013)

    Article  MathSciNet  Google Scholar 

  18. C. Lin, Q. Wu, L. Xiang, J. Zhou, Pinning impulsive directed coupled delayed dynamical network and its applications. Int. J. Syst. Sci. 46, 193–208 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  19. Y. Liu, S.M. Lee, Improved results on sampled-data synchronization of complex dynamical networks with time-varying coupling delay. Nonlinear Dyn. 81, 931–938 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  20. Y. Liu, S.M. Lee, Sampled-data synchronization of chaotic Lur’e systems with stochastic sampling. Circuits Syst. Signal Process. 34, 3725–3739 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  21. Y. Liu, S.M. Lee, Stability and stabilization of takagi-sugeno fuzzy systems via sampled-data and state quantized controller. IEEE Trans. Fuzzy Syst. 24, 635–644 (2016). doi:10.1109/TFUZZ.2015.2469099

    Google Scholar 

  22. Y. Liu, J. Li, S. Tong, C.L.P. Chen, Neural network control-based adaptive learning design for nonlinear systems with full-state constraints. IEEE Trans. Neural Netw. Learn. Syst. 27, 1562–1571 (2016)

    Article  MathSciNet  Google Scholar 

  23. Y.J. Liu, S. Tong, Optimal control-based adaptive NN design for a class of nonlinear discrete-time block-triangular systems. IEEE Trans. Cybern. 46, 2670–2680 (2016)

    Article  Google Scholar 

  24. Y.J. Liu, S. Tong, Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems. Automatica 76, 143–152 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  25. Y.J. Liu, S. Tong, C.L.Philip Chen, D.J. Li, Neural controller design-based adaptive control for nonlinear MIMO systems with unknown hysteresis inputs. IEEE Trans. Cybern. 46, 9–19 (2016)

    Article  Google Scholar 

  26. X. Lu, Y. Wang, Y. Zhao, Synchronization of complex dynamical networks on time scales via Wirtinger-based inequality. Neurocomputing 216, 143–149 (2016)

    Article  Google Scholar 

  27. P. Park, J.W. Ko, C. Jeong, Reciprocally convex approach to stability of systems with time-varying delays. Automatica 47, 235–238 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  28. D. Qi, M. Liu, M. Qiu, S. Zhang, Exponential synchronization of general discrete-time chaotic neural networks with or without time delays. IEEE Trans. Neural Netw. Learn. Syst. 21, 1358–1365 (2010)

    Article  Google Scholar 

  29. B. Shen, Z. Wang, X. Liu, Sampled-data synchronization control of dynamical networks with stochastic sampling. IEEE Trans. Autom. Control 57, 2644–2650 (2012)

    Article  MathSciNet  Google Scholar 

  30. K. Shi, X. Liu, H. Zhu, S. Zhong, Y. Liu, C. Yin, Novel integral inequality approach on masterslave synchronization of chaotic delayed Lur’e systems with sampled-data feedback control. Nonlinear Dyn. 83, 1259–1274 (2016)

    Article  MATH  Google Scholar 

  31. K. Shi, X. Liu, H. Zhu, S. Zhong, Y. Zeng, C. Yin, Novel delay-dependent master-slave synchronization criteria of chaotic Lur’e systems with time-varying-delay feedback control. Appl. Math. Comput. 282, 137–154 (2016)

    MathSciNet  Google Scholar 

  32. S.H. Strogstz, Exploring complex networks. Nature 410, 268–276 (2001)

    Article  Google Scholar 

  33. L. Su, H. Shen, Mixed \(H_{\infty }/\)passive synchronization for complex dynamical networks with sampled-data control. Appl. Math. Comput. 259, 931–942 (2015)

    MathSciNet  Google Scholar 

  34. J. Sun, G.P. Liu, J. Chen, D. Rees, Improved delay-range-dependent stability criteria for linear systems with time-varying delays. Automatica 46, 466–470 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  35. S.J.S. Theesar, P. Balasubramaniam, Secure communication via synchronization of chaotic Lur’e systems using sampled-data control. Circuits Syst. Signal Process. 33, 37–52 (2014)

    Article  Google Scholar 

  36. B. Wang, P. Shi, H.R. Karimi, Y. Song, J. Wang, Robust \(H_{\infty }\) synchronization of a hyper-chaotic system with disturbance input. Nonlinear Anal. Real World Appl. 14, 1487–1495 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  37. G. Wang, Q. Yin, Y. Shen, F. Jiang, \(H_{\infty }\) synchronization of directed complex dynamical networks with mixed time-delays and switching structures. Circuits Syst. Signal Process. 32, 1575–1593 (2013)

    Article  MathSciNet  Google Scholar 

  38. T. Wang, S. Zhao, W. Zhou, W. Yu, Finite-time masterslave synchronization and parameter identification for uncertain Lurie systems. ISA Trans. 53, 1184–1190 (2014)

    Article  Google Scholar 

  39. G. Wen, C.L.P. Chen, Y.J. Liu, Z. Liu, Neural network-based adaptive leader-following consensus control for a class of nonlinear multi-agent state-delay systems. IEEE Trans. Cybern. (2016). doi:10.1109/TCYB.2016.2608499

  40. Z.G. Wu, P. Shi, H.Y. Su, J. Chu, Sampled-data synchronization of chaotic Lur’e systems with time delays. IEEE Trans. Neural Netw. Learn. Syst. 24, 410–420 (2013)

    Article  Google Scholar 

  41. Z.G. Wu, P. Shi, H. Su, J. Chu, Sampled-data exponential synchronization of complex dynamical networks with time-varying coupling delay. IEEE Trans. Neural Netw. Learn. Syst. 24, 1177–1187 (2013)

    Article  Google Scholar 

  42. Y. Xu, R. Lu, H. Peng, K. Xie, A. Xue, Asynchronous dissipative state estimation for stochastic complex networks with quantized jumping coupling and uncertain measurements. IEEE Trans. Neural Netw. Learn. Syst. 28, 268–277 (2017). doi:10.1109/TNNLS.2015.2503772

    Article  MathSciNet  Google Scholar 

  43. Y. Zhao, B. Li, J. Qin, H. Gao, H.R. Karimi, \(H_{\infty }\) consensus and synchronization of nonlinear systems based on a novel fuzzy model. IEEE Trans. Cybern. 43, 2157–2169 (2013). doi:10.1109/TCYB.2013.2242197

    Article  Google Scholar 

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Correspondence to R. Rakkiyappan.

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Rakkiyappan, R., Latha, V.P. & Sivaranjani, K. Exponential \(H_{\infty }\) Synchronization of Lur’e Complex Dynamical Networks Using Pinning Sampled-Data Control. Circuits Syst Signal Process 36, 3958–3982 (2017). https://doi.org/10.1007/s00034-017-0508-7

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