A new fractional-order hyperchaotic memristor oscillator: Dynamic analysis, robust adaptive synchronization, and its application to voice encryption

被引:129
作者
Jahanshahi, Hadi [1 ]
Yousefpour, Amin [2 ]
Munoz-Pacheco, Jesus M. [3 ]
Kacar, Sezgin [4 ]
Viet-Thanh Pham [5 ,6 ]
Alsaadi, Fawaz E. [7 ]
机构
[1] Univ Manitoba, Dept Mech Engn, Winnipeg, MB R3T 5V6, Canada
[2] Univ Tehran, Coll Engn, Sch Mech Engn, Tehran 111554563, Iran
[3] Benemerita Univ Autonoma Puebla, Fac Elect Sci, Puebla 72570, Mexico
[4] Sakarya Univ Appl Sci, Technol Fac, Dept Elect Elect Engn, Sakarya, Turkey
[5] Phenikaa Univ, Fac Elect & Elect Engn, Phenikaa Inst Adv Study PIAS, Hanoi 100000, Vietnam
[6] Phenikaa Res & Technol Inst PRATI, A&A Green Phoenix Grp, 167 Hoang Ngan, Hanoi 100000, Vietnam
[7] King Abdulaziz Univ, Fac Comp & IT, Dept Informat Technol, Jeddah, Saudi Arabia
关键词
Fractional-order hyperchaotic memristor oscillator; Fractional-order robust adaptive controller; Sliding mode-based adaptation mechanism; Voice encryption; CHAOTIC SYSTEM; CALCULUS; STABILITY;
D O I
10.1016/j.amc.2020.125310
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The present study proposes a new fractional-order hyperchaotic memristor oscillator. The proposed system is studied through numerical simulations and analyses, such as the Lyapunov exponents, bifurcation diagrams, and phase portraits. Then, using the sliding mode concept, a robust adaptive control scheme is designed to synchronize the proposed system. The adaptation mechanism is implemented to estimate the unknown parameters of the slave system. Then, the output of the proposed adaptation mechanism is used for the control scheme. The stability of the closed-loop system is proven via a fractional version of the Lyapunov stability theorem and Barbalat's lemma. Numerical simulations of synchronization are shown to investigate the performance of the developed control technique on the uncertain fractional-order hyperchaotic memristor oscillator. Finally, as an engineering application, the proposed fractional-order system is implemented for voice encryption. In this regard, to show the appropriate performance of the proposed system for voice encryption, statistical characteristic of the encryption and decryption processes are performed through different methods including correlation, entropy, root mean square, and root sum of squares. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页数:15
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