2010
DOI: 10.1016/j.cnsns.2009.01.019
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On pinning control of some typical discrete-time dynamical networks

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Cited by 20 publications
(9 citation statements)
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“…20,29 While considerable efforts have been devoted to continuous-time dynamical systems, the analysis of discrete maps is a relatively untapped research area with our ability to effectively control the evolution of such systems being currently limited to few scenarios. [31][32][33] For example, in Ref. 31, the authors generalize the classical master stability function introduced in Ref.…”
Section: Introductionmentioning
confidence: 97%
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“…20,29 While considerable efforts have been devoted to continuous-time dynamical systems, the analysis of discrete maps is a relatively untapped research area with our ability to effectively control the evolution of such systems being currently limited to few scenarios. [31][32][33] For example, in Ref. 31, the authors generalize the classical master stability function introduced in Ref.…”
Section: Introductionmentioning
confidence: 97%
“…As demonstrated through extensive simulations in Ref. 33, pinning control of discrete-time dynamical networks is a challenging task, whereby direct control of a large fraction of the network nodes is generally required.…”
Section: Introductionmentioning
confidence: 99%
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“…It's often impossible to add controllers to all nodes. Then, a literal solution is to control only a small fraction of nodes, which is known as pinning control [6][7][8][9][10][11][12][13][14]20] . Obviously, pinning control is more suitable to be applied in a large-scale network, as it can reduce the numbers of the controlled nodes and control costs in practical engineering applications.…”
Section: Introductionmentioning
confidence: 99%
“…Some works concerning the use of transversal Lyapunov exponents to prove synchronization (Li and Chen, 2003) or control (Li and Wang, 2004) of coupled chaotic maps can be found in the literature. However, the parameter's constraints to achieve an asymptotical stable behavior have showed to be too strong for discrete-time systems, hampering the pin control task (Zhang et al, 2010). On the other hand, for the linear system proposed in this work, we are able to establish some specific conditions on the parameter's values in order to guarantee the desired asymptotic behavior.…”
Section: Convergence Analysismentioning
confidence: 75%