2009
DOI: 10.1016/j.physleta.2009.10.079
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Structure identification and adaptive synchronization of uncertain general complex dynamical networks

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Cited by 41 publications
(20 citation statements)
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“…In [39], Xu et al consider the two complex networks by the adjustment of feedback gains k i and r i such that the error system (8) asymptotically converges to zero. After, Mei et al [35] further study the same model using the periodically intermittent feedback gains k i and r i such that the error system (4.1) asymptotically converges to zero in finite time.…”
Section: Remarkmentioning
confidence: 99%
“…In [39], Xu et al consider the two complex networks by the adjustment of feedback gains k i and r i such that the error system (8) asymptotically converges to zero. After, Mei et al [35] further study the same model using the periodically intermittent feedback gains k i and r i such that the error system (4.1) asymptotically converges to zero in finite time.…”
Section: Remarkmentioning
confidence: 99%
“…Many effective control methods including adaptive control [8][9][10][11][12][13][14], feedback control [15][16][17][18], observer control [19][20], pinning control [21][22][23], impulsive control [24][25][26][27][28] and intermittent control [29][30][31][32][33][34][35][36][37] have been proposed to drive the network to achieve synchronization. Among these control approaches, the discontinuous control methods which include impulsive control and intermittent control have attracted much interest due to its practical and easy implementation in engineering fields.…”
Section: Introductionmentioning
confidence: 99%
“…In fact, synchronization is one of the most typical collective behavior and basic motions in nature [5], [6]. Specifically, adaptive rules [7]- [10], impulsive methods [11]- [16], or a combination of them [17], [18] have been used for getting synchronization in networks of coupled chaotic systems.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a method to completely synchronize the whole network in spite of these uncertainties would be necessary. To deal with unknown network couplings, numerous robust and adaptive methods have been developed [7]- [27], whereas only a few papers addressed the problem of nodes' dynamics uncertainty [10], [14], [15], [26].…”
Section: Introductionmentioning
confidence: 99%