论文标题
部分可观测时空混沌系统的无模型预测
Compact gamma detector module for radiation monitoring
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
Modern unmanned technologies make it possible to implement them in almost all industries, including radiation monitoring. Already in 2011, at the Fukushima nuclear power plant accident, the first drones were demonstrated to measure the radiation background of the territories. Improvement of such devices is one of the topical directions. Our research team has proposed the concept of a gamma radiation detector module for unmanned aerial vehicles. The concept is represented by a matrix of modernized silicon photomultipliers based on silicon structures. The new structures have a design of deep pixel photodiodes of the MLPD type. Today experimental samples have superiority in such parameters as high efficiency of registration of ionizing radiation. Also, such parameters as low sensitivity to vibrations and low power consumption of photodiodes make it possible to integrate them into unmanned and small-sized radiation monitoring systems.
