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Parameter Identification of Memristor-Based Chaotic Systems via the Drive-Response Synchronization Method

机译:通过驱动响应同步方法的忆阻组混沌系统参数识别

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Memristor-based chaotic systems have been received great attention from researchers in the last decade. This brief investigates parameter identification of a memristor-based chaotic system (proposed by Muthuswamy in 2010). Uncertain parameter identification has not been studied yet for memristor-based chaotic systems. Using the Lyapunov stability theory and Barbalat lemma, two theorems are established to identify uncertain parameters of the system under the following two cases: i) the memductance is unknown; ii) capacitances and inductances are unknown. Finally, numerical simulations are carried out and the results show that the proposed parameter identification methods are effective.
机译:基于Memristor的混沌系统在过去十年的研究人员中受到了极大的关注。 本简要调查基于忆耳的混沌系统的参数识别(2010年由Muthuswamy提出)。 尚未研究基于忆耳的混沌系统的不确定参数识别。 利用Lyapunov稳定性理论和Barbalat Lemma,建立了两个定理,以确定在以下两种情况下系统的不确定参数:i)Memmonuctance是未知的; ii)电容和电感未知。 最后,进行了数值模拟,结果表明,所提出的参数识别方法是有效的。

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