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A fractional-order chaotic Lorenz-based chemical system: Dynamic investigation, complexity analysis, chaos synchronization, and its application to secure communication |
Haneche Nabil1,† and Hamaizia Tayeb2 |
1 Mathematical Modeling & Simulation Laboratory, Department of Mathematics, University of Mentouri Brothers, Constantine, Algeria; 2 Department of Mathematics, University of Mentouri Brothers, Constantine, Algeria |
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Abstract Synchronization of fractional-order chaotic systems is receiving significant attention in the literature due to its applications in a variety of fields, including cryptography, optics, and secure communications. In this paper, a three-dimensional fractional-order chaotic Lorenz model of chemical reactions is discussed. Some basic dynamical properties, such as stability of equilibria, Lyapunov exponents, bifurcation diagrams, Poincaré map, and sensitivity to initial conditions, are studied. By adopting the Adomian decomposition algorithm (ADM), the numerical solution of the fractional-order system is obtained. It is found that the lowest derivative order in which the proposed system exhibits chaos is $q=0.694$ by applying ADM. The result has been validated by the existence of one positive Lyapunov exponent and by employing some phase diagrams. In addition, the richer dynamics of the system are confirmed by using powerful tools in nonlinear dynamic analysis, such as the 0-1 test and $C_{0}$ complexity. Moreover, modified projective synchronization has been implemented based on the stability theory of fractional-order systems. This paper presents the application of the modified projective synchronization in secure communication, where the information signal can be transmitted and recovered successfully through the channel. MATLAB simulations are provided to show the validity of the constructed secure communication scheme.
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Received: 12 August 2024
Revised: 14 September 2024
Accepted manuscript online: 26 September 2024
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PACS:
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05.45.-a
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(Nonlinear dynamics and chaos)
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05.45.Gg
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(Control of chaos, applications of chaos)
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05.45.Pq
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(Numerical simulations of chaotic systems)
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05.45.Vx
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(Communication using chaos)
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Corresponding Authors:
Haneche Nabil
E-mail: nabil.haneche@doc.umc.edu.dz
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Cite this article:
Haneche Nabil and Hamaizia Tayeb A fractional-order chaotic Lorenz-based chemical system: Dynamic investigation, complexity analysis, chaos synchronization, and its application to secure communication 2024 Chin. Phys. B 33 120503
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[1] Bekir A and Zahran E H 2022 Chin. Phys. B 31 060401 [2] Ding D, Niu Y, Zhang H, Yang Z, Wang J, Wang W and Wang M 2024 Chin. Phys. B 33 050503 [3] Bukhari A H, Raja M A Z, Shoaib M and Kiani A K 2022 Chaos, Solitons Fractals 161 112375 [4] Chaudhary M and Singh M K 2022 Phys. Scr. 97 074001 [5] Farman M, Akgül A, Saleem M U, Imtiaz S and Ahmad A 2020 Pramana 94 1 [6] AbdelAty A M, Al-Durra A, Zeineldin H and El-Saadany E F 2024 Int. J. Electr. Power Energy Syst. 156 109746 [7] Rajagopal K, Karthikeyan A and Ramakrishnan B 2021 Chin. Phys. B 30 120512 [8] Pahnehkolaei S M A, Alfi A and Machado J T 2022 Chaos, Solitons Fractals 155 111658 [9] Cafagna D and Grassi G 2015 Chin. Phys. B 24 080502 [10] Khennaoui A A, Ouannas A, Bendoukha S, Wang X and Pham V T 2018 Entropy 20 530 [11] Podlubny I 2009 Fractional Differential Equations (New York: Academic Press) [12] Caputo M and Fabrizio M 2015 Prog. Fract. Differ. Appl. 1 73 [13] Atangana A and Baleanu D 2016 Therm. Sci. 20 763 [14] He S, Wang H and Sun K 2022 Chin. Phys. B 31 060501 [15] Atangana A and Secer A 2013 Abstr. Appl. Anal. 2013 279681 [16] Strogatz S H 2018 Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering (Boca Raton: CRC press) [17] Hannachi F 2019 SN Appl. Sci. 1 158 [18] Kocamaz U E, Wang H and Uyaroǧlu Y 2014 Nonlinear Dyn. 75 63 [19] Aqeel M, Azam A and Ayub J 2022 Chin. J. Phys. 77 1331 [20] Bodale I and Oancea V A 2015 Chaos Solitons Fractals 78 1 [21] Yadav V K, Das S, Bhadauria B S, Singh A K and Srivastava M 2017 Chin. J. Phys. 55 594 [22] He S, Sun K and Banerjee S 2016 Eur. Phys. J. Plus 131 1 [23] Dou G, Liu J, Zhang M, Zhao K and Guo M 2022 Eur. Phys. J. Plus 231 3151 [24] Kheiri H and Naderi B 2015 Iranian J. Math. Chem. 6 81 [25] Garcia-Fernández J M, Nieto-Villar J M and Rieumont-Briones J 1996 Phys. Scr. 53 643 [26] Carroll T L and Pecora L M 1990 Phys. Rev. Lett. 64 821 [27] Sang J Y, Yang J and Yue L J 2011 Chin. Phys. B 20 080507 [28] Shukla V K, Joshi M C, Rajchakit G, Chakrabarti P, Jirawattanapanit A and Mishra P K 2023 Differ. Equ. Dyn. Syst. 20 1 [29] Ling L, Yuan C and Ling L 2010 Chin. Phys. B 19 080506 [30] Grassi G 2012 Chin. Phys. B 21 050505 [31] Gholizade-Narm H, Azemi A and Khademi M 2013 Chin. Phys. B 22 070502 [32] Zhu Y R, Wang J L and Han X 2024 Neurocomputing 591 127766 [33] Du H, Zeng Q, Wang C and Ling M 2010 Nonlinear Anal. Real World Appl. 11 705 [34] Du H, Zeng Q and Wang C 2009 Chaos Solitons Fractals 42 2399 [35] Li G H 2007 Chaos Solitons Fractals 32 1786 [36] Haneche N and Hamaizia T 2024 Phys. Scr. 90 095203 [37] Wu X, Fu Z and Kurths J 2015 Phys. Scr. 90 045210 [38] Khan A, Nigar U and Chaudhary H 2022 Int. J. Appl. Comput. Math 8 170 [39] Benkouider K, Bouden T and Yalcin M E 2020 SN Appl. Sci. 2 1 [40] Bonny T, Nassan W A, Vaidyanathan S and Sambas A 2023 Multimed Tools Appl. 82 34229 [41] Wu X, Wang H and Lu H 2012 Nonlinear Anal. Real World Appl. 13 1441 [42] Liu M, Yu W, Wang J, Gao K and Zhou Z 2023 Int. J. Dynam. Control 11 1952 [43] Gorenflo R and Mainardi F 1997 Fractal and Fractional Calculus in Continuum Mechanics (Wien: Springer) [44] Andrew L Y T, Li X F, Chu Y D and Hui Z 2015 Chin. Phys. B 24 100502 [45] He S, Sun K and Wang H 2016 Math. Meth. Appl. Sci. 39 2965 [46] Shi K, An X, Xiong L, Yang F and Zhang L 2022 Phys. Scr. 97 045201 [47] Fu H and Lei T 2022 Symmetry 14 484 [48] Lorenz E N 1963 Journal of Atmospheric Sciences 20 130 [49] Poland D 1993 Phys. D 65 86 [50] Matignon D 1996 Computational Engineering in Systems and Applications 2 963 [51] Li C, Gong Z, Qian D and Chen Y 2010 Chaos 20 013127 [52] Sun K H, Liu X and Zhu C X 2010 Chin. Phys. B 19 110510 [53] Wang S, He S, Yousefpour A, Jahanshahi H, Repnik R and Perc M 2020 Chaos Solitons Fractals 131 109521 |
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