Solving Hyperchaotic Systems Using the Spectral Relaxation Method
Author(s) -
S. S. Motsa,
Phumlani Dlamini,
M. Khumalo
Publication year - 2012
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2012/203461
Subject(s) - gauss , mathematics , relaxation (psychology) , solver , pseudo spectral method , matlab , spectral method , chebyshev filter , mathematical optimization , mathematical analysis , computer science , fourier transform , physics , psychology , social psychology , fourier analysis , quantum mechanics , operating system
A new multistage numerical method based on blending a Gauss-Siedel relaxation method and Chebyshev pseudospectral method, for solving complex dynamical systems exhibiting hyperchaotic behavior, is presented. The proposed method, called the multistage spectral relaxation method (MSRM), is applied for the numerical solution of three hyperchaotic systems, namely, the Chua, Chen, and Rabinovich-Fabrikant systems. To demonstrate the performance of the method, results are presented in tables and diagrams and compared to results obtained using a Runge-Kutta-(4,5)-based MATLAB solver, ode45, and other previously published results
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