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Volume 5, Issue 1
Anti-Synchronization of two Different Chaotic Systems via Optimal Control with Fully Unknown Parameters

HonglanZhu

J. Info. Comput. Sci. , 5 (2010), pp. 011-018.

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  • Abstract
This paper presents anti-synchronization of two different chaotic systems using optimal control method. The proposed technique is applied to achieve chaos anti-synchronization for the new four- dimensional and hyperchaotic Lü systems with fully unknown parameters. Numerical simulations results are presented to demonstrate the effectiveness of the method.
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@Article{JICS-5-011, author = {HonglanZhu}, title = {Anti-Synchronization of two Different Chaotic Systems via Optimal Control with Fully Unknown Parameters}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {5}, number = {1}, pages = {011--018}, abstract = { This paper presents anti-synchronization of two different chaotic systems using optimal control method. The proposed technique is applied to achieve chaos anti-synchronization for the new four- dimensional and hyperchaotic Lü systems with fully unknown parameters. Numerical simulations results are presented to demonstrate the effectiveness of the method. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22725.html} }
TY - JOUR T1 - Anti-Synchronization of two Different Chaotic Systems via Optimal Control with Fully Unknown Parameters AU - HonglanZhu JO - Journal of Information and Computing Science VL - 1 SP - 011 EP - 018 PY - 2024 DA - 2024/01 SN - 5 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22725.html KW - AB - This paper presents anti-synchronization of two different chaotic systems using optimal control method. The proposed technique is applied to achieve chaos anti-synchronization for the new four- dimensional and hyperchaotic Lü systems with fully unknown parameters. Numerical simulations results are presented to demonstrate the effectiveness of the method.
HonglanZhu. (2024). Anti-Synchronization of two Different Chaotic Systems via Optimal Control with Fully Unknown Parameters. Journal of Information and Computing Science. 5 (1). 011-018. doi:
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