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Reconstruction of dynamic structures of experimental setups based on measurable experimental data only
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Nowadays, massive amounts of data have been accumulated in various and wide fields, it has become today one of the central issues in interdisciplinary fields to analyze existing data and extract as much useful information as possible from data. It is often that the output data of systems are measurable while dynamic structures producing these data are hidden,and thus studies to reveal system structures by analyzing available data, i.e., reconstructions of systems become one of the most important tasks of information extractions. In the past, most of the works in this respect were based on theoretical analyses and numerical verifications. Direct analyses of experimental data are very rare. In physical science, most of the analyses of experimental setups were based on the first principles of physics laws, i.e., so-called top-down analyses. In this paper, we conducted an experiment of "Boer resonant instrument for forced vibration"(BRIFV) and inferred the dynamic structure of the experimental set purely from the analysis of the measurable experimental data, i.e., by applying the bottomup strategy. Dynamics of the experimental set is strongly nonlinear and chaotic, and it's subjects to inevitable noises. We proposed to use high-order correlation computations to treat nonlinear dynamics; use two-time correlations to treat noise effects. By applying these approaches, we have successfully reconstructed the structure of the experimental setup, and the dynamic system reconstructed with the measured data reproduces good experimental results in a wide range of parameters. 相似文献
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传统的混沌扩频(CDSS)是利用混沌序列量化、编码后产生的0、1序列作为扩频码,来实现频谱展宽。另外,由于混沌序列本身的宽频特性,一些传统的混沌数字调制技术也可被用于扩频通信系统的设计。在单向耦合映像格子(OCML)时空混沌模型同步的基础上,直接利用混沌相位键控(CPSK)调制技术构建了一个多用户扩频通信系统。该模型为每个用户分配一个OCML时空混沌模型,为了更好地利用时空混沌系统的时间与空间混沌特性,其采用"跳格序列"作为扩频调制序列对用户信息进行调制。通过与传统混沌直接序列扩频(CDSS)系统的仿真比较发现,所设计的CPSK调制多用户扩频通信系统拥有比后者更好的误码性能及安全性能。 相似文献
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