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International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
DOI:10.5121/ijccms.2014.3401 1
Synchronization and Inverse Synchronization of
Some Different Dimensional Discrete-time
Chaotic Dynamical Systems via Scaling Matrices
Adel Ouannas
LAMIS Laboratory, Department of Mathematics and Computer Science,
University of Tebessa, 12002, Algeria.
Abstract
In this paper, new types of synchronization and inverse synchro-nization are proposed for some di¤erent
dimensional chaotic dynamical systems in discrete-time using scaling matrices. Based on Lyapunov
stability theory and nonlinear controllers, new synchronization results are derived. Numerical simulations
are used to verify the e¤ectiveness of the proposed schemes.
Keyword
Synchronization, inverse synchronization, chaotic dynamical sys-tems, discrete-time, Lyapunov stability
1.Introduction
Dynamical systems in discrete-time play an important role in chaos theory and mathematical
modelisation of many scienti.c problems [1, 2, 3, 4]. Re-cently, more and more attention has been
paid to the synchronization of chaos(hyperchaos) in discrete-time dynamical systems, due it.s
applications in se- cure communication and cryptology [5, 6]. Many synchronization types have
been found [7, 8, 9] and di¤erent methods are used to study synchronization of discrete-time
chaotic systems [10, 11, 12].
In this paper, the proplems of synchronization with scaling matrix and it.s inverse type are studied
between drive-response chaotic systems in discrete-time. Based on Lyapunov stability theory, we
would like to present a con-structive schemes to investigate synchronization and inverse
synchronization between some typical chaotic dynamical systems with respect to scaling matri-
ces in discrete-time with di¤erent dimensions. Because in real world all chaotic maps are
described by plane equations or space systems, we restrict our study about the new chaos
synchronization types to 2D and 3D discrete chaotic sys-tems and this restriction does .n lose the
generality of our main results. Firstly, anew schemes are proposed to study synchronization and
inverse synchronization between the drive 2D Lorenz discrete-time system and the response 3D
Wang map. Secondly, the 3D generalized Hénon map is considered as the drive system and the
controlled Fold map as the response system to achieve synchronization and inverse
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
2
synchronizationThe remainder of this paper is organized as follows. In Section 2, de.n-itions of
synchronization and inverse synchronization for discrete systems via scaling matrices are
introduced. In section 3; synchronization and inverse syn-chronization are applied to 2D drive
system and 3D response system and new synchronization results are derived. In Section 4,
synchronization and inverse synchronization are studied between 3D drive system and 2D
response system.Finally, the paper is concluded in Section 5.
2.Definitions of synchronization and inverse syn-chronization via
scaling matrices
Consider the following drive chaotic system described by
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
3
3.Synchronization and inverse synchronization of 2D drive system and
3D response system
In this section, we consider Lorenz discrete-time system and as the drive system the controlled
Wang system. Lorenz discrete-time system can be described as
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
4
3.1.Synchronization of Lorenz discrete-time system and Wang system
According to de ntion 1, the synchronization errors between the drive system (5) and the
response system (6) can be derived as
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
5
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
6
3.2.Inverse synchronization between Lorenz discrete-time system and
Wang system
According to de ntion 2, the synchronization errors between the drive system (5) and the
response system (6)), can be derived as
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
7
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
8
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
9
4.Synchronization and inverse synchronization of 3D drive system and
2D response system
Now, we consider 3D generalized Hénon map as the drive system and the con- trolled Fold map
as the response system. The 3D generalized Hénon map can be described as
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
10
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
11
4.1.Synchronization between 3D generalized Hénon map and Fold map
According to de ntion 1, the synchronization errors between systems (25) and (26), can be
derived as
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
12
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
13
4.2.Inverse synchronization between 3D generalized Hénon map and
Fold map
In this case, the synchronization errors between the drive system (25) and the response system
(26) can be derived as
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
14
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
15
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
16
5.Conclusion
In this paper, we analysed the synchronization and the inverse synchronization problems using
scaling matrices for some typical di¤erent dimensional chaotic systems in discrete-time. A new
control schemes are derived and new synchro-nization controllers are proposed. Numerical
simulations are used to verify the e¤ectiveness of the derived results.
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014
17
References
[1] A. M. Selvam. Nonlinear Dynamics and Chaos: Applications in At-mospheric Sciences. J. Adv. Math.
Appl. 1, 181-205 (2012)
[2] J. Lei. Stochastic Modeling in Systems Biology. J. Adv. Math. Appl. 1,76-88 (2012)
[3] Y. Wang and G. Fariello. On Neuroinformatics: Mathematical Models of Neuroscience and
Neurocomputing. J. Adv. Math. Appl. 1, 206-217 (2012)
[4] X. Quan, Y. Lu, F. Xu, J. Lei, and W. Liu. Mathematical Modeling of Question Popularity in User-
Interactive Question Answering Systems J.Adv. Math. Appl. 2, 24-31 (2013)
[5] E. Solak. Cryptanalysis of observer based discrete-time chaotic encryptionschemes. Inter. J. Bifur.
Chaos. 15(2), 653-658 (2005)
[6] Liu, W., Wang, Z.M. and Zhang, W.D. Controlled synchronization of discrete-time chaotic systems
under communication constraints. Nonlinear
Dyn. 69, 223 230 (2012)
[7] A. Ouannas. Co-existence of Complete Synchronization and Anti-Synchronization in a Class of
Discrete Rational Chaotic Systems. Far East.
J. Dyn. Syst. 23(1-2), 41-48 (2014)
[8] A. Ouannas. A New Q-S Synchronization Scheme for Discrete Chaotic Sys-tems. Far East. J. Appl.
Math. 84(2), 89-94 (2013)
[9] A. Ouannas. On Full-State Hybrid Projective Synchronization of General Discrete Chaotic Systems. J.
Nonl. Dyn Volume 2014
[10] G. Grassi. Generalized synchronization between di¤erent chaotic maps via dead-beat control. Chin.
Phys. B. 21(5), 050505 (2013).
[11] Y. Zhenya. Q-S synchronization in 3D Hénon-like map and generalized Hénon map via a scalar
controller. Phys. Lett. A. 342, 309-317 (2005).
[12] Y. Zhenya. Q-S (complete or anticipated) synchronization backstepping scheme in a class of discrete-
time chaotic (hyperchaotic) systems: A symbolic-numeric computation approach. Chaos 16, 013119-
11 (2006).

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IJCCMS Vol.3 No.4 December 2014 synchronization discrete systems

  • 1. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 DOI:10.5121/ijccms.2014.3401 1 Synchronization and Inverse Synchronization of Some Different Dimensional Discrete-time Chaotic Dynamical Systems via Scaling Matrices Adel Ouannas LAMIS Laboratory, Department of Mathematics and Computer Science, University of Tebessa, 12002, Algeria. Abstract In this paper, new types of synchronization and inverse synchro-nization are proposed for some di¤erent dimensional chaotic dynamical systems in discrete-time using scaling matrices. Based on Lyapunov stability theory and nonlinear controllers, new synchronization results are derived. Numerical simulations are used to verify the e¤ectiveness of the proposed schemes. Keyword Synchronization, inverse synchronization, chaotic dynamical sys-tems, discrete-time, Lyapunov stability 1.Introduction Dynamical systems in discrete-time play an important role in chaos theory and mathematical modelisation of many scienti.c problems [1, 2, 3, 4]. Re-cently, more and more attention has been paid to the synchronization of chaos(hyperchaos) in discrete-time dynamical systems, due it.s applications in se- cure communication and cryptology [5, 6]. Many synchronization types have been found [7, 8, 9] and di¤erent methods are used to study synchronization of discrete-time chaotic systems [10, 11, 12]. In this paper, the proplems of synchronization with scaling matrix and it.s inverse type are studied between drive-response chaotic systems in discrete-time. Based on Lyapunov stability theory, we would like to present a con-structive schemes to investigate synchronization and inverse synchronization between some typical chaotic dynamical systems with respect to scaling matri- ces in discrete-time with di¤erent dimensions. Because in real world all chaotic maps are described by plane equations or space systems, we restrict our study about the new chaos synchronization types to 2D and 3D discrete chaotic sys-tems and this restriction does .n lose the generality of our main results. Firstly, anew schemes are proposed to study synchronization and inverse synchronization between the drive 2D Lorenz discrete-time system and the response 3D Wang map. Secondly, the 3D generalized Hénon map is considered as the drive system and the controlled Fold map as the response system to achieve synchronization and inverse
  • 2. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 2 synchronizationThe remainder of this paper is organized as follows. In Section 2, de.n-itions of synchronization and inverse synchronization for discrete systems via scaling matrices are introduced. In section 3; synchronization and inverse syn-chronization are applied to 2D drive system and 3D response system and new synchronization results are derived. In Section 4, synchronization and inverse synchronization are studied between 3D drive system and 2D response system.Finally, the paper is concluded in Section 5. 2.Definitions of synchronization and inverse syn-chronization via scaling matrices Consider the following drive chaotic system described by
  • 3. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 3 3.Synchronization and inverse synchronization of 2D drive system and 3D response system In this section, we consider Lorenz discrete-time system and as the drive system the controlled Wang system. Lorenz discrete-time system can be described as
  • 4. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 4 3.1.Synchronization of Lorenz discrete-time system and Wang system According to de ntion 1, the synchronization errors between the drive system (5) and the response system (6) can be derived as
  • 5. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 5
  • 6. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 6 3.2.Inverse synchronization between Lorenz discrete-time system and Wang system According to de ntion 2, the synchronization errors between the drive system (5) and the response system (6)), can be derived as
  • 7. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 7
  • 8. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 8
  • 9. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 9 4.Synchronization and inverse synchronization of 3D drive system and 2D response system Now, we consider 3D generalized Hénon map as the drive system and the con- trolled Fold map as the response system. The 3D generalized Hénon map can be described as
  • 10. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 10
  • 11. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 11 4.1.Synchronization between 3D generalized Hénon map and Fold map According to de ntion 1, the synchronization errors between systems (25) and (26), can be derived as
  • 12. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 12
  • 13. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 13 4.2.Inverse synchronization between 3D generalized Hénon map and Fold map In this case, the synchronization errors between the drive system (25) and the response system (26) can be derived as
  • 14. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 14
  • 15. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 15
  • 16. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 16 5.Conclusion In this paper, we analysed the synchronization and the inverse synchronization problems using scaling matrices for some typical di¤erent dimensional chaotic systems in discrete-time. A new control schemes are derived and new synchro-nization controllers are proposed. Numerical simulations are used to verify the e¤ectiveness of the derived results.
  • 17. International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.4, December 2014 17 References [1] A. M. Selvam. Nonlinear Dynamics and Chaos: Applications in At-mospheric Sciences. J. Adv. Math. Appl. 1, 181-205 (2012) [2] J. Lei. Stochastic Modeling in Systems Biology. J. Adv. Math. Appl. 1,76-88 (2012) [3] Y. Wang and G. Fariello. On Neuroinformatics: Mathematical Models of Neuroscience and Neurocomputing. J. Adv. Math. Appl. 1, 206-217 (2012) [4] X. Quan, Y. Lu, F. Xu, J. Lei, and W. Liu. Mathematical Modeling of Question Popularity in User- Interactive Question Answering Systems J.Adv. Math. Appl. 2, 24-31 (2013) [5] E. Solak. Cryptanalysis of observer based discrete-time chaotic encryptionschemes. Inter. J. Bifur. Chaos. 15(2), 653-658 (2005) [6] Liu, W., Wang, Z.M. and Zhang, W.D. Controlled synchronization of discrete-time chaotic systems under communication constraints. Nonlinear Dyn. 69, 223 230 (2012) [7] A. Ouannas. Co-existence of Complete Synchronization and Anti-Synchronization in a Class of Discrete Rational Chaotic Systems. Far East. J. Dyn. Syst. 23(1-2), 41-48 (2014) [8] A. Ouannas. A New Q-S Synchronization Scheme for Discrete Chaotic Sys-tems. Far East. J. Appl. Math. 84(2), 89-94 (2013) [9] A. Ouannas. On Full-State Hybrid Projective Synchronization of General Discrete Chaotic Systems. J. Nonl. Dyn Volume 2014 [10] G. Grassi. Generalized synchronization between di¤erent chaotic maps via dead-beat control. Chin. Phys. B. 21(5), 050505 (2013). [11] Y. Zhenya. Q-S synchronization in 3D Hénon-like map and generalized Hénon map via a scalar controller. Phys. Lett. A. 342, 309-317 (2005). [12] Y. Zhenya. Q-S (complete or anticipated) synchronization backstepping scheme in a class of discrete- time chaotic (hyperchaotic) systems: A symbolic-numeric computation approach. Chaos 16, 013119- 11 (2006).