M
Michaël Antonie van Wyk
Researcher at Tshwane University of Technology
Publications - 13
Citations - 365
Michaël Antonie van Wyk is an academic researcher from Tshwane University of Technology. The author has contributed to research in topics: Lyapunov exponent & Attractor. The author has an hindex of 6, co-authored 12 publications receiving 349 citations.
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A four-wing chaotic attractor generated from a new 3-D quadratic autonomous system
Guoyuan Qi,Guoyuan Qi,Guanrong Chen,Michaël Antonie van Wyk,Barend Jacobus van Wyk,Yuhui Zhang +5 more
TL;DR: In this paper, the authors introduced a 3D quadratic autonomous system, which can generate two coexisting single-wing chaotic attractors and a pair of diagonal double-wing attractors.
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On a new hyperchaotic system
TL;DR: Spectral analysis shows that the system in the hyperchaotic mode has an extremely broad frequency bandwidth of high magnitudes, verifying its unusual random nature and indicating its great potential for some relevant engineering applications such as secure communications.
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A new hyperchaotic system and its circuit implementation
TL;DR: Spectral analysis shows that the system in the hyperchaotic mode has an extremely broad frequency bandwidth of high magnitudes, verifying its unusual random nature and indicating its great potential for some relevant engineering applications such as secure communications.
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A four-wing attractor and its analysis
TL;DR: In this paper, the authors investigated the behavior of a four-dimensional chaotic system and explained why it can only generate two coexisting double-wing chaotic attractors but cannot produce a single four-wing attractor.
Journal ArticleDOI
A new type of four-wing chaotic attractors in 3-D quadratic autonomous systems
Zenghui Wang,Zenghui Wang,Guoyuan Qi,Yanxia Sun,Barend Jacobus van Wyk,Michaël Antonie van Wyk +5 more
TL;DR: In this paper, several smooth canonical 3D continuous autonomous systems are proposed in terms of the coefficients of nonlinear terms, which can be extended to the existing 3D four-wing chaotic systems by adding some linear and/or quadratic terms.