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Using method of artificial intelligence to estimate parameters of chaotic synchronization systems

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Title: Using method of artificial intelligence to estimate parameters of chaotic synchronization systems
Author: Nguyen, Thanh Dung; Zelinka, Ivan
Document type: Conference paper (English)
Source document: MENDEL 2011. 2011, vol. 2011, p. 22-29
ISSN: 1803-3814 (Sherpa/RoMEO, JCR)
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ISBN: 978-80-214-4302-0
Abstract: This paper aims to present the combination of chaotic signal and evolutionary algorithms to estimate the unknown parameters in chaos synchronization system via the Pecora and Carroll method. The self-organizing migrating algorithm (SOMA) and Differential Evolution (DE) were used to estimate the unknown parameters. Based on the results from evolutionary algorithms, two identical chaotic systems were synchronized.
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ČSN ISO 690:2011 citation

Citace článku v konferenčním sborníku:
NGUYEN, Thanh Dung a Ivan ZELINKA. Using method of artificial intelligence to estimate parameters of chaotic synchronization systems. In: MENDEL 2011 [online]. Brno: Vysoké učení technické v Brně, 2011, s. 22-29. ISSN 1803-3814.

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