2018
DOI: 10.1002/mma.5203
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Fractional matrix and inverse matrix projective synchronization methods for synchronizing the disturbed fractional‐order hyperchaotic system

Abstract: In this paper, for synchronizing two actual nonidentical fractional-order hyperchaotic systems disturbed by model uncertainty and external disturbance, the fractional matrix and inverse matrix projective synchronization methods are presented and the methods' correctness and effectiveness are proved. Especially, under certain degenerative conditions, the methods are reduced to study the complete synchronization, antisynchronization, projective (or inverse projective) synchronization, modified (or modified inver… Show more

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Cited by 15 publications
(7 citation statements)
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“…Next, let us research the quasi-matrix projective synchronization between systems ( 7) and (8). Taking Caputo derivative of both sides of error function = − ∑ =1 Λ and substituting into ( 7) and ( 8), the error system can be obtained as…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Next, let us research the quasi-matrix projective synchronization between systems ( 7) and (8). Taking Caputo derivative of both sides of error function = − ∑ =1 Λ and substituting into ( 7) and ( 8), the error system can be obtained as…”
Section: Resultsmentioning
confidence: 99%
“…Fractional order phenomenon is ubiquitous in the real world and has strong memory and hereditary characteristic, so fractional model can better describe the dynamical properties and internal structure of many classical problems than integer ones. In recent years, many valuable results of fractional order dynamical systems have been obtained and widely applied in many areas, such as mathematical physics [1][2][3][4][5][6][7][8][9][10][11], optimum theory [12], financial problems [13], anomalous diffusion [14], secure communication [15,16], biological systems [17,18], and heat transfer process [19]. These research works illustrate the practicality and importance of fractional calculus and promote its development.…”
Section: Introductionmentioning
confidence: 99%
“…The modified fractional inverse matrix hybrid function projective synchronization in our paper has been achieved using Lyapunov Boundedness Theorem, where the constant bounded behavior is achieved after 2 units, whereas in [4], the errors reach zero at 0.1, 1, 1.5, and 5 units, respectively.…”
Section: Sn Computer Sciencementioning
confidence: 99%
“…In [4], Jinman He et al have studied fractional matrix and inverse matrix projective synchronization between two systems of dimension four. For the case of fractional matrix projective synchronization, they have achieved the errors tending to zero, one at 1 unit and other at 5 units.…”
Section: Comparison With Previously Published Literaturementioning
confidence: 99%
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