 Sampled-data exponential synchronization of stochastic chaotic Lur’e delayed systemsTe Yang, Zhen Wang, Jianwei Xia and Hao Shen Mathematics and Computers in Simulation (MATCOM), 2023, vol. 203, issue C, 44-57 Abstract: This article is dedicated to research the sampled-data exponential synchronization for a class of stochastic chaotic Lur’e delayed system. Unlike the Lur’e systems studied in most articles which are deterministic, taking full account of the impact of stochastic factors on the system, a type of Itô-type stochastic chaotic Lur’e delayed system is taken as our research object. Firstly, two lemmas are provided to estimate the expectation of the solution of stochastic delayed chaotic Lur’e system and stochastic chaotic Lur’e system, respectively. Secondly, by constructing novel Lyapunov functional, an exponential synchronization criterion is proposed and sampled-data controller is designed for stochastic chaotic Lur’e delayed system and stochastic chaotic Lur’e system. Finally, the effectiveness is verified by a widely used chaotic circuit model and a neural network model. Keywords: Sampled-data; Time-delay; Exponential synchronization; Lur’e systems (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:203:y:2023:i:c:p:44-57 DOI: 10.1016/j.matcom.2022.06.010 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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