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Multi-Parameter Analysis of Optimal Transitions from Chaotic to Stable Regions for Two Classes of Systems
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作者 yury talagaev Andrey Tarakanov 《Advances in Pure Mathematics》 2013年第1期214-218,共5页
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 optim... 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. 展开更多
关键词 CHAOTIC SYSTEMS MULTI-PARAMETER Analysis MELNIKOV Method Super-Stability
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