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Multi-Parameter Analysis of Optimal Transitions from Chaotic to Stable Regions for Two Classes of Systems
Balashov Institute of Saratov State University, Balashov, Russia
Borisoglebsk State Pedagogical Institute, Borisoglebsk, Russia
- 1 Balashov Institute of Saratov State University, Balashov, Russia
- 2 Borisoglebsk State Pedagogical Institute, Borisoglebsk, Russia
Advances in Pure Mathematics·Volume 03 (2013)·Pages 214–218·Published 30 January 2013·DOI10.4236/apm.2013.31A030
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Abstract
The study of the parameter space of chaotic systems is complicated by its high dimensionality (multi-parametricability). Two approaches to the study of chaotic systems are presented: multi-parameter analysis and optimal suppression of chaotic dynamics. For non-autonomous chaotic systems, this is the way to compare the effectiveness of various correction parameters that provide optimal removal of irregular dynamics. For the class of autonomous chaotic systems, this is the way to investigate the optimal conditions of super-stable behavior for the chaotic system.
KeywordsChaotic SystemsMulti-Parameter AnalysisMelnikov MethodSuper-Stability
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