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Identifiability and identification of chaotic systems based on adaptive synchronization

机译:基于自适应同步的混沌系统的可辨识性

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This paper deals with the problem of synchronization of chaotic systems when the driven (slave, receiver) system has the same structure as the master (driving, emitter) system but its parameters are unknown. It is shown that the concept of synchronization provides an efficient way to find the unknown slave system parameters. Parameter mismatch between master and slave systems and high sensitivity of response to changes of these parameters were so far considered as crucial for security issues. This paper shows evidence that this claimed advantage becomes in fact a major drawback in chaos communication schemes since parameters ran easily be found using adaptive synchronization and optimization tools. The general problem of identifiability of chaotic systems is defined and discussed in the context of possibilities for finding the unknown chaotic receiver parameters. Several typical systems used in experiments in chaos communication are tested for identifiability showing direct applications of the introduced concepts. In particular examples of the skew tent map, Henon map, Markov maps and Chua's circuit are considered in detail illustrating the problems of global and local identifiability.
机译:当从动(从动,接收器)系统与主(从动,发射器)系统具有相同的结构但参数未知时,本文讨论了混沌系统的同步问题。结果表明,同步的概念提供了一种有效的方法来查找未知的从属系统参数。迄今为止,主系统和从系统之间的参数不匹配以及对这些参数的更改的响应高度敏感对安全性问题至关重要。本文表明,由于使用自适应同步和优化工具可以轻松找到参数,因此,这种声称的优势实际上已成为混沌通信方案的主要缺点。在寻找未知混沌接收器参数的可能性的背景下,定义和讨论了混沌系统可识别性的一般问题。对混沌通信实验中使用的几种典型系统进行了可识别性测试,表明所引入概念的直接应用。在偏斜帐篷图,亨农图,马尔可夫图和蔡氏电路的特定示例中,详细考虑了全局和局部可识别性问题。

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