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Robust H∞ cluster synchronization analysis of Lurie dynamical networks |
Guo Ling (郭凌)a, Nian Xiao-Hong (年晓红)b, Pan Huan (潘欢)c, Bing Zhi-Tong (邴志桐)d |
a College of Electrical Engineering, Northwest University for Nationalities, Lanzhou 730030, China; b College of Information Science and Engineering, Central South University, Changsha 410075, China; c College of Physics Electrical Information Engineering, Ningxia University, Yinchuan 750021, China; d Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China |
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Abstract The cluster synchronization problem of complex dynamical networks with each node being a Lurie system with external disturbances and time-varying delay is investigated in this paper. Some criteria for cluster synchronization with desired H∞ performance are presented by using a local linear control scheme. Firstly, sufficient conditions are established to realize cluster synchronization of the Lurie dynamical networks without time delay. Then, the notion of the cluster synchronized region is introduced, and some conditions guaranteeing the cluster synchronized region and unbounded cluster synchronized region are derived. Furthermore, the cluster synchronization and cluster synchronized region in the Lurie dynamical networks with time-varying delay are considered. Numerical examples are finally provided to verify and illustrate the theoretical results.
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Received: 07 July 2013
Revised: 24 September 2013
Accepted manuscript online:
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PACS:
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05.45.Gg
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(Control of chaos, applications of chaos)
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05.45.Jn
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(High-dimensional chaos)
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05.45.Pq
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(Numerical simulations of chaotic systems)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61075065, 60774045, and U1134108), the Talent Introduction Scientific Research Foundation of Northwest University for Nationalities (Grant No. xbmuyjrc201304), and the Foundation for Young Talents of Gansu Province, China (Grant No. 1208RJYA013). |
Corresponding Authors:
Guo Ling
E-mail: gling0826@126.com
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About author: 05.45.Gg; 05.45.Jn; 05.45.Pq |
Cite this article:
Guo Ling (郭凌), Nian Xiao-Hong (年晓红), Pan Huan (潘欢), Bing Zhi-Tong (邴志桐) Robust H∞ cluster synchronization analysis of Lurie dynamical networks 2014 Chin. Phys. B 23 040501
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[1] |
Chen T P, Liu X W and Lu W L 2007 IEEE T. Circuits-I 54 1317
|
[2] |
Liu X, Wang J Z and Huang L 2007 Physica A 386 543
|
[3] |
Liu C, Duan Z S, Chen G R and Huang L 2007 Physica A 386 531
|
[4] |
Duan Z S, Chen G R and Huang L 2008 Phys. Lett. A 372 3741
|
[5] |
Zhang Q J, Lu J, Lü J H and Tse C K 2008 IEEE T. Circuits-II 55 183
|
[6] |
Li Z K, Duan Z S and Chen G R 2011 Int. J. Control 84 216
|
[7] |
Lin P, Jia Y M and Li L 2008 Syst. Control. Lett. 57 643
|
[8] |
Hu G Q 2011 Int. J. Control 84 1
|
[9] |
Wen G H, Duan Z S, Li Z K and Chen G R 2012 Int. J. Control 85 384
|
[10] |
Wen G H, Duan Z S, Yu W W and Chen G R 2013 Int. J. Robust. Nonlinearity 23 602
|
[11] |
Ma Z J, Liu Z R and Zhang G 2006 Chaos 16 023103
|
[12] |
Wu W, Zhou W J and Chen T P 2009 IEEE T. Circuits-I 56 829
|
[13] |
Xia W G and Cao M 2011 Automatica 47 2395
|
[14] |
Wu X J and Lu H T 2011 Phys. Lett. A 375 1559
|
[15] |
Liu X W and Chen T P 2011 IEEE T. Neural Network 22 1009
|
[16] |
Wang T, Li T, Yang X and Fei S M 2012 Neurocomputing 83 72
|
[17] |
Guo L, Nian X H, Zhao Y and Duan Z S 2012 IET Control Theory A 6 2499
|
[18] |
Su H, Rong Z, Chen M Z, Wang X, Chen G and Wang H 2013 IEEE Trans. Cybern. 43 394
|
[19] |
Yao H X and Wang S G 2012 Chin. Phys. B 21 110506
|
[20] |
Wu X J and Lu H T 2011 Phys. Lett. A 375 1559
|
[21] |
Wu J S, Jiao L C and Chen G R 2011 Chin. Phys. B 20 060503
|
[22] |
Anderson B D O, Yu C, Fidan B and Hendrickx J 2008 IEEE Control Syst. Mag. 28 48
|
[23] |
Blasius B, Huppert A and Stone L 1999 Nature 399 354
|
[24] |
Dolby A S and Grubb T C 1998 Anim. Behav. 56 501
|
[25] |
Hegselmann R and Krause U 2002 JASSS-The Journal of Artificia 5 1
|
[26] |
Khalil H 2002 Nonlinear Systems (Englewood Cliffs NJ: Prentice Hall)
|
[27] |
Chua L O 1994 J. Circ. Syst. Comput. 4 17
|
[28] |
Ruoff P, Vinsjevik M and Monnerjahn C 2001 J. Theor. Biol. 209 29
|
[29] |
Gazi V and Passino K M 2003 IEEE T. Automat. Control 48 692
|
[30] |
Yalcin M E, Suykens J A K and Vandewalle J P L 2001 Int. J. Bifur. Chaos 11 1707
|
[31] |
Huang H and Feng G 2008 Chaos 18 033113
|
[32] |
Boyd S, Ghaoui L E, Feron E and Balakrishnan V 1994 Linear Matrix Inequalities in System and Control Theory (Philadelphia, PA: SIAM)
|
[33] |
Iwasaki T and Skelton R 1994 Automatica 30 1307
|
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