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<title>Faculty of Sciences</title>
<link>https://repository.biust.ac.bw/handle/123456789/137</link>
<description>This collection contains electronic copies of books, chapters and sections produced by staff and students of Faculty of Sciences, BIUST.</description>
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<rdf:li rdf:resource="https://repository.biust.ac.bw/handle/123456789/320"/>
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<dc:date>2026-04-15T00:05:40Z</dc:date>
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<title>Nonlinear dynamical regimes and control of turbulence through the complex Ginzburg-Landau equation</title>
<link>https://repository.biust.ac.bw/handle/123456789/320</link>
<description>Nonlinear dynamical regimes and control of turbulence through the complex Ginzburg-Landau equation
Tafo, Joël Bruno Gonpe; Nana, Laurent; Tabi, Conrad Bertrand; Kofané, Timoléon Crépin
The dynamical behavior of pulse and traveling hole in a one-dimensional system&#13;
depending on the boundary conditions, obeying the complex Ginzburg-Landau&#13;
(CGL) equation, is studied numerically using parameters near a subcritical bifurca-&#13;
tion. In a spatially extended system, the criterion of Benjamin-Feir-Newell (BFN)&#13;
instability near the weakly inverted bifurcation is established, and many types of&#13;
regimes such as laminar regime, spatiotemporal regime, defect turbulence regimes,&#13;
and so on are observed. In finite system by using the homogeneous boundary&#13;
conditions, two types of regimes are detected mainly the convective and the&#13;
absolute instability. The convectively unstable regime appears below the threshold&#13;
of the parameter control, and beyond, the absolute regime is observed. Controlling&#13;
such regimes remains a great challenge; many methods such as the nonlinear&#13;
diffusion parameter control are used. The unstable traveling hole in the one-&#13;
dimensional cubic-quintic CGL equation may be effectively stabilized in the chaotic&#13;
regime. In order to stabilize defect turbulence regimes, we use the global time-delay&#13;
auto-synchronization control; we also use another method of control which consists&#13;
in modifying the nonlinear diffusion term. Finally, we control the unstable regimes&#13;
by adding the nonlinear gradient term to the system. We then notice that the&#13;
chaotic system becomes stable under strong nonlinearity.
</description>
<dc:date>2020-03-11T00:00:00Z</dc:date>
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