Abstract
This paper studies the master–slave synchronization in a class of time-delay neutral Lur’e systems. Firstly, an augmented Lyapunov–Krasovskii functional (LKF) is constructed after fully utilizing the restrictions on time-varying delay and nonlinearities. Then, an extended reciprocal convex technique is proposed to estimate the LKF’s derivative, and some less conservative conditions are presented in terms of linear matrix inequalities. Furthermore, our methods can be applied to tackle more general cases such as the systems with different time-delays, delay-partitioning idea, and triple LKF method. Finally, two numerical examples are given to show the effectiveness and benefits of the proposed methods.
Similar content being viewed by others
References
H. Ahmed, I. Salgado, H. Rios, Robust synchronization of master–slave chaotic systems using approximate model: an experimental study. ISA Trans. 73, 141–146 (2018)
Z. Cai, L. Huang, L. Zhang, Finite-time synchronization of master–slave neural networks with time-delays and discontinuous activations. Appl. Math. Model. 47, 208–226 (2017)
T. Carroll, L. Pecora, Synchronization in chaotic circuits. IEEE Trans. Circuits Syst. I 38, 453–56 (1991)
W. 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(9), 3298–3312 (2014)
Y. Guo, Exponential stability analysis of traveling waves solutions for nonlinear delayed cellular neural networks. Dyn. Syst. 32(4), 490–503 (2017)
Y. Guo, Global stability analysis for a class of Cohen–Grossberg neural network models. Bull. Korean Math. Soc. 49(6), 1193–1198 (2012)
Y. Guo, Mean square exponential stability of stochastic delay cellular neural networks. Electron. J. Qual. Theory Differ. Equ. 34, 1–10 (2013)
Y. Guo, Globally robust stability analysis for stochastic Cohen–Grossberg neural networks with impulse control and time-varying delays. Ukr. Math. J. 69(8), 1220–1233 (2018)
C. Hua, X. Guan, Master–slave synchronization criteria of Lur’e systems with time-delay feedback control. Appl. Math. Comput. 244(1), 895–902 (2014)
C. Hua, C. Ge, X. Guan, Synchronization of chaotic Lur’e systems with time delays using sampled-data control. IEEE Trans. Neural Netw. Learn. Syst. 26(6), 1214–1221 (2015)
H. Huang, G. Feng, Synchronization of nonidentical chaotic neural networks with time delays. Neural Netw. 22, 869–874 (2009)
H. Huang, G. Feng, Y. Sun, Robust synchronization of chaotic systems subject to parameter uncertainties. Chaos 19, 033128 (2009)
H. Huang, G. Feng, J. Cao, Exponential synchronization of chaotic Lur’e systems with delayed feedback control. Nonlinear Dyn. 57, 441–453 (2009)
H. Huang, G. Feng, Robust \(H_\infty \) synchronization of chaotic Lur’e systems. Chaos 18, 033113 (2008)
X. Ji, M. Ren, H. Su, On designing time-delay feedback controller for master-slave synchronization of Lur’e systems. Asian J. Control 16(1), 308–312 (2014)
K. Ko, W. Lee, P. Park, D. Sun, Delays-dependent region partitioning approach for stability criterion of linear systems with multiple time-varying delays. Automatica 87, 389–394 (2018)
T. Lee, J. Park, Improved criteria for sampled-data synchronization of chaotic Lur’e systems using two new approaches. Nonlinear Anal. Hybrid Syst. 24, 132–145 (2017)
T. Li, G. Zhang, S. Fei, S. Zhang, Further criteria on master–slave synchronization in chaotic Lur’e systems using delay feedback control. Circuits Syst. Signal Process. 35(8), 2992–3014 (2016)
T. Li, T. Wang, A. Song, S. Fei, Delay-derivative-dependent stability for delayed neural networks with unbounded distributed delay. IEEE Trans. Neural Netw. 21, 1365–1371 (2010)
B. Liu, X. Jia, New absolute stability criteria for uncertain Lur’e systems with time-varying delays. J. Frankl. Inst. 355(9), 4015–4031 (2018)
P. Liu, Robust absolute stability criteria for uncertain Lurie interval time-varying delay systems of neutral type. ISA Trans. 60, 2–11 (2016)
X. Liu, D. Ho, Q. Song, W. Xu, Finite/fixed-time pinning synchronization of complex networks with stochastic disturbances. IEEE Trans. Cybern. https://doi.org/10.1109/TCYB.2018.2821119
X. Liu, J. Cao, W. Yu, Q. Song, Nonsmooth finite-time synchronization of switched coupled neural networks. IEEE Trans. Cybern. 46(10), 2360–2371 (2016)
L. Long, C. Zhang, Y. He, L. Jiang, M. Wu, Stability analysis of Lur’e systems with additive delay components via a relaxed matrix inequality. Appl. Math. Comput. 328, 224–242 (2018)
S. Ma, Y. Kang, Exponential synchronization of delayed neutral-type neural networks with Levy noise under non-Lipschitz condition. Commun. Nonlinear Sci. Numer. Simul. 57, 372–387 (2018)
J. Park, S. Lee, P. Park, An improved stability criteria for neutral-type Lur’e systems with time-varying delays. J. Frankl. Inst. 355(12), 5291–5309 (2018)
J. Park, S. Lee, P. Park, An improved fragmentation approach to sampled-data synchronization of chaotic Lur’e systems. Nonlinear Anal. Hybrid Syst. 29, 333–347 (2018)
S. Senan, M. Ali, R. Vadivel, S. Arik, Decentralized event-triggered synchronization of uncertain Markovian jumping neutral-type neural networks with mixed delays. Neural Netw. 86, 32–41 (2017)
H. Shen, S. Huo, J. Cao, T. Huang, Generalized state estimation for Markovian coupled networks under Round-Robin protocol and redundant channels. IEEE Trans. Cybern. https://doi.org/10.1109/TCYB.2018.2799929
H. Shen, F. Li, H. Yan, H. Karimi, H. Lam, Finite-time event-triggered \(H_\infty \) control for T-S fuzzy Markov jump systems. IEEE Trans. Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2017.2788891
Y. Sheng, H. Zhang, Z. Zeng, Synchronization of reaction–diffusion neural networks with dirichlet boundary conditions and infinite delays. IEEE Trans. Cybern. 47(10), 3005–3017 (2017)
K. Shi, X. Liu, S. Zhong, C. Yin, Novel delay-dependent master–slave synchronization criteria of chaotic Lur’e systems with time-varying-delay feedback control. Appl. Math. Comput. 282(5), 137–154 (2016)
K. Shi, Y. Tang, X. Liu, S. Zhong, Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation. ISA Trans. 66, 185–199 (2017)
K. Shi, X. Liu, H. Zhu, S. Zhong, Novel integral inequality approach on master-slave synchronization of chaotic delayed Lur’e systems with sampled-data feedback control. Nonlinear Dyn. 83(3), 1259–1274 (2016)
R. Sivasamy, R. Rakkiyappan, Improved stability criteria for neutral type Lur’e systems with time-varying delays. Appl. Math. Lett. 38, 168–173 (2014)
J. Sun, G. Liu, J. Chen, D. Rees, Improved delay-range-dependent stability criteria for linear systems with time-varying delays. Automatica 46(2), 466–470 (2010)
J. Tao, Z. Wu, H. Su, Y. Wu, Asynchronous and resilient filtering for Markovian jump neural networks subject to extended dissipativity. IEEE Trans. Cybern. https://doi.org/10.1109/TCYB.2018.2824853
Y. Wan, J. Cao, G. Wen, Quantized synchronization of chaotic neural networks with scheduled output feedback control. IEEE Trans. Neural Netw. Learn. Syst. 28(11), 2638–2647 (2017)
Y. Wang, X. Zhang, Y. He, Improved delay-dependent robust stability criteria for a class of uncertain mixed neutral and Lur’e dynamical systems with interval time-varying delays and sector-bounded nonlinearity. Nonlinear Anal. Real World Appl. 13(5), 2188–2194 (2012)
T. Wang, S. Zhao, W. Zhou, W. Yu, Finite-time master–slave synchronization and parameter identification for uncertain Lurie systems. ISA Trans. 53(4), 1184–1190 (2014)
R. Zhang, C. Zeng, S. Zhong, K. Shi, New approach on designing stochastic sampled-data controller for exponential synchronization of chaotic Lur’e systems. Nonlinear Anal. Hybrid Syst. 29, 303–321 (2018)
R. Zhang, C. Zeng, S. Zhong, Novel master–slave synchronization criteria of chaotic Lur’e systems with time delays using sampled-data control. J. Frankl. Inst. 354(12), 4930–4954 (2017)
C. Zhang, Y. He, L. Jiang, M. Wu, Notes on stability of time-delay systems, bounding inequalities and augmented Lyapunov–Krasovskii functionals. IEEE Trans. Autom. Control 62, 5331–5336 (2017)
C. Zhang, Y. He, L. Jiang, M. Wu, An extended reciprocally convex matrix inequality for stability analysis of systems with time-varying delay. Automatica 85, 481–485 (2017)
F. Zhang, H. Trentelman, J. Scherpen, Fully distributed robust synchronization of networked Lur’e systems with incremental nonlinearities. Automatica 50(11), 2515–2526 (2014)
C. Zheng, Z. Wei, Z. Wang, Robustly adaptive synchronization for stochastic Markovian neural networks of neutral type with mixed mode-dependent delays. Neurocomputing 171(1), 1254–1264 (2016)
Acknowledgements
This work is supported by National Natural Science Foundation of China (Nos. 61873123, 61873127), Natural Science Foundation of Jiangsu Province (Nos. BK20171419, BK20150888), Natural Science Foundation for Jiangsu’s Universities (No. 15KJB12004), and Fundamental Research Fund for Central Universities (Nos. NS2016030, NJ20160024).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, T., Shen, S., Tang, X. et al. Extended Reciprocal Convex Techniques on Synchronization in Time-Delay Neutral Lur’e Systems. Circuits Syst Signal Process 38, 1942–1961 (2019). https://doi.org/10.1007/s00034-018-0946-x
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-018-0946-x