Adaptive synchronization and anti-synchronization of fractional order chaotic optical systems with uncertain parameters
Volume 23, Issue 4, pp 302--314
http://dx.doi.org/10.22436/jmcs.023.04.03
Publication Date: November 22, 2020
Submission Date: June 29, 2020
Revision Date: September 29, 2020
Accteptance Date: October 04, 2020
-
1049
Downloads
-
2456
Views
Authors
O. Ababneh
- School of Mathematics, Zarqa University, Zarqa, Jordan.
Abstract
This paper proposes an adaptive control algorithm to study the
synchronization and anti-synchronization of fractional order
chaotic optical systems. The Lyapunov stability theory verifies
the convergence behavior and guarantees the robust asymptotic
stability of the equilibrium point at the origin. In the sense of
Lyapunov function, this paper also provides parameters adaptation
laws that confirm the convergence of uncertain parameters to some
constant values. The computer simulation results endorse the
theoretical findings. The results of this study could be
beneficial in the area of optics chaotic systems.
Share and Cite
ISRP Style
O. Ababneh, Adaptive synchronization and anti-synchronization of fractional order chaotic optical systems with uncertain parameters, Journal of Mathematics and Computer Science, 23 (2021), no. 4, 302--314
AMA Style
Ababneh O., Adaptive synchronization and anti-synchronization of fractional order chaotic optical systems with uncertain parameters. J Math Comput SCI-JM. (2021); 23(4):302--314
Chicago/Turabian Style
Ababneh, O.. "Adaptive synchronization and anti-synchronization of fractional order chaotic optical systems with uncertain parameters." Journal of Mathematics and Computer Science, 23, no. 4 (2021): 302--314
Keywords
- Optics
- synchronization
- anti-synchronization
- Lyapunov stability theory
- fractional order
MSC
References
-
[1]
M. Abdelouahab, N. Hamri, A new chaotic attractor from hybrid optical bistable system, Nonlinear Dynam., 67 (2011), 457--463
-
[2]
S. K. Agrawal, S. Das, A modified adaptive control method for synchronization of some fractional chaotic systems with unknown parameters, Nonlinear Dynam., 73 (2013), 907--919
-
[3]
M. M. Al-Sawalha, A. Al-Sawalha, Anti-synchronization of fractional order chaotic and hyperchaotic systems with fully unknown parameters using modified adaptive control, Open Phys., 14 (2016), 304--313
-
[4]
M. M. Al-Sawalha, M. S. M. Noorani, Chaos anti-synchronization between two novel different hyperchaotic systems, Chinese Phys. Lett., 25 (2008), 2743--2746
-
[5]
M. M. Al-Sawalha, M. S. M. Noorani, Anti-synchronization of two hyperchaotic systems via nonlinear control, Commun. Nonlinear Sci. Numer. Simul., 14 (2009), 3402--3411
-
[6]
M. M. Al-Sawalha, M. S. M. Noorani, On anti-synchronization of chaotic systems via nonlinear control, Chaos Soliton Fract., 42 (2009), 170--179
-
[7]
M. M. Al-Sawalha, M. S. M. Noorani, Adaptive increasing-order synchronization and anti-synchronization of chaotic systems with uncertain parameters, Chinese Phys. Lett., 28 (2011), 3 pages
-
[8]
A. Boubellouta, A. Boulkroune, Intelligent fractional-order control-based projective synchronization for chaotic optical systems, Soft Comput., 23 (2019), 5367--5384
-
[9]
D. Chen, Y. Q. Chen, H. Sheng, Fractional variational optical flow model for motion estimation, 4th IFAC Workshop on Fractional Differentiation and Its Applications, 2010 (2010), 12 pages
-
[10]
Q. Chen, M. Gao, L. Tao, Y. Nan, Adaptive Fixed Time Parameter Estimation and Synchronization Control for Multiple Robotic Manipulators, Int. J. Control Autom. Syst., 17 (2019), 2375--2387
-
[11]
C. J. Gutierrez, Fractionalization of optical beams: I. Planar analysis, Opt. Lett., 32 (2007), 1521--1523
-
[12]
S. B. He, K. H. Sun, H. H. Wang, X. Y. Mei, Y. F. Sun, Generalized synchronization of fractional-order hyperchaotic systems and its DSP implementation, Nonlinear Dynam., 92 (2018), 85--96
-
[13]
R. Hilfer (ed.), Applications of Fractional Calculus in Physics, World Sci. Publ., River Edge (2000)
-
[14]
W. Jawaada, M. S. M. Noorani, M. M. Al-Sawalha, Anti-synchronization of chaotic systems via adaptive sliding mode control, Chinese Phys. Lett., 29 (2012), 15 pages
-
[15]
J. LaSalle, S. Lefschetz, Stability by Liapunov's direct method, with applications, Academic Press, New York-London (1961)
-
[16]
Z. Li, Z. Zhang, Chaotic communication based on single mode laser Lorenz system, International Conference on Electronics, Communications and Control (ICECC), 2011 (2011), 1928--1931
-
[17]
N. Liu, J. Fang, W. Deng, Z. J. Wu, G. Q. Ding, Synchronization for a Class of Fractional-order Linear Complex Networks via Impulsive Control, Int. J. Control Autom. Syst., 16 (2018), 2839--2844
-
[18]
O. Mofid, S. Mobayen, Adaptive synchronization of fractional-order quadratic chaotic flows with nonhyperbolic equilibrium, J. Vib. Control, 24 (2018), 4971--4981
-
[19]
V. Namias, The fractional order Fourier transform and its application to quantum mechanics, J. Appl. Math., 25 (1980), 241--265
-
[20]
A. Ouannas, M. M. Al-sawalha, Synchronization between different dimensional chaotic systemsusing two scaling matrices, Optik, 127 (2016), 959--963
-
[21]
A. Ouannas, M. M. Al-sawalha, T. Ziar, Fractional chaos synchronization schemes for different dimensional systems with non-identical fractional-orders via two scaling matrices, Optik, 127 (2016), 8410--8418
-
[22]
A. Ouannas, S. Bendoukha, C. Volos, N. Boumaza, A. Karouma, Synchronization of Fractional Hyperchaotic Rabinovich Systems via Linear and Nonlinear Control with an Application to Secure Communications, Int. J. Control Autom. Syst., 17 (2019), 2211--2219
-
[23]
H. Ozaktas, Z. Alevsky, M. A. Kutay, The Fractional Fourier Transform, Wiley, New York (2001)
-
[24]
H. Ozaktas, D. Mendlovic, Fractional Fourier transforms and their optical implementation: II, J. Opt. Soc. Am. A, 10 (1993), 1975--1981
-
[25]
I. Podlubny, Fractional Differential Equations, Academic Press, San Diego (1999)
-
[26]
S. Zhang, W. Y. Cui, F. E. Alsaadi, Adaptive Backstepping Control Design for Uncertain Non-smooth Strictfeedback Nonlinear Systems with Time-varying Delays, Int. J. Control Autom. Syst., 17 (2019), 2220--2233