Adaptive pinning control for the projective synchronization of drive-response dynamical networks

Xiao, Jiang-Wen; Wang, Zhi-Wei; Miao, Wen-Tuan; Wang, Yan-Wu

doi:10.1016/j.amc.2012.09.005

Cited by 10 publications

(3 citation statements)

References 37 publications

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“…Several different approaches have been used for achieving projective synchronization, such as linear-nonlinear feedback control (Chen, Jiao, Wu, & Wang, 2010;Wu, & Lu, 2012), adaptive control ( Xiao, Wang, & Miao, 2012;Zhu, Zhou, Zhou, Wu, & Tong, 2014), impulsive control , pinning control Xiao, Wang, Miao, & Wang, 2012), and so on.…”

Section: Introductionmentioning

confidence: 99%

Projective synchronization of fractional-order memristor-based neural networks

2015

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Section: Introductionmentioning

confidence: 99%

Projective synchronization of fractional-order memristor-based neural networks

2015

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“…2009) and adaptive pinning control for the projective synchronization (Xiao et al. 2012) that are the recent development for the synchronization of chaos. Many different forms of synchronization are possible in unidirectional or bidirectional coupling configuration (Brown and Kocarev 2000; Gonzalez Miranda 2004; Pikovsky et al.…”

Section: Introductionmentioning

confidence: 99%

Identical synchronization of a non-autonomous unified chaotic system with continuous periodic switch

Shooshtari¹,

Forouzanfar²,

Molaei

2016

SpringerPlus

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In this article a non-autonomous unified chaotic system with continuous periodic switch between the Chen and Lorenz systems is introduced. Dynamical behaviors of this system are investigated. We consider the identical (complete) synchronization of the bi-directionally coupled between two identical systems of this type and then analyze its stability by estimating the entire Lyapunov characteristic exponent spectrum. Numerical and graphical works are done with Mathematica.

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“…The topic of chaos synchronization of oscillator systems is extensively investigated because of possible relevance to information encryption [8][9][10][11][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Various kinds of synchronization laws have been obtained, for example, complete synchronization [8,11,[15][16][17][18], compound synchronization [10], antisynchronization [19][20][21], phase synchronization [22,23], lag synchronization [24][25][26], projective synchronization [10,27], and combination synchronization [9,28]. However, in the existing literature, most of synchronization laws are based on one drive system and one response system.…”

Section: Introductionmentioning

confidence: 99%

Combination-Combination Hyperchaos Synchronization of Complex Memristor Oscillator System

Zhang¹

2014

Mathematical Problems in Engineering

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The combination-combination synchronization scheme is based on combination of multidrive systems and combination of multiresponse systems. In this paper, we investigate combination-combination synchronization of hyperchaotic complex memristor oscillator system. Several sufficient conditions are provided to ascertain the combination of two drive hyperchaotic complex memristor oscillator systems to synchronize the combination of two response hyperchaotic complex memristor oscillator systems. These new conditions improve and extend the existing synchronization results for memristive systems. A numerical example is given to show the feasibility of theoretical results.

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Adaptive pinning control for the projective synchronization of drive-response dynamical networks

Cited by 10 publications

References 37 publications

Projective synchronization of fractional-order memristor-based neural networks

Projective synchronization of fractional-order memristor-based neural networks

Identical synchronization of a non-autonomous unified chaotic system with continuous periodic switch

Combination-Combination Hyperchaos Synchronization of Complex Memristor Oscillator System

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