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DESIGN OF N-DIMENSIONAL MULTI-SCROLL JERK CHAOTIC SYSTEM AND ITS PERFORMANCES
Author(s) -
Shaobo He,
Kehui Sun,
Huihai Wang,
Xingxing Ai,
Yixin Xu
Publication year - 2016
Publication title -
journal of applied analysis and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 21
eISSN - 2158-5644
pISSN - 2156-907X
DOI - 10.11948/2016078
Subject(s) - jerk , attractor , chaotic , lyapunov exponent , control theory (sociology) , mathematics , nonlinear system , scroll , computer science , mathematical analysis , physics , engineering , control (management) , artificial intelligence , classical mechanics , mechanical engineering , quantum mechanics , acceleration
Based on three-order Jerk and high-order Jerk chaotic systems, a general approach is proposed to generate n-dimensional multi-scroll Jerk chaotic attractors via nonlinear control. Dynamics of the n-dimensional multiscroll Jerk chaotic systems are analyzed by means of the largest Lyapunov exponent and multi-scale permutation entropy complexity. As an experimental verification, four-dimensional Jerk chaotic attractors are implemented by analog circuits. Results of the numerical simulation are consistent with that of the hardware experiments. It shows that the method of obtaining complex Jerk chaotic attractors is effective.

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