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Synchronization in a network of coupled MEMS-Colpitts oscillators

机译:耦合MEMS-Colpitts振荡器网络中的同步

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The experimental characterization of a network of three resistively coupled microelectromechanical systems (MEMS)-based Colpitts oscillators is presented. The oscillators were fabricated on a printed circuit board and comprised of a 16 MHz quartz resonator in a positive feedback loop, which generated a sustained limit cycle oscillation when powered by a DC voltage supply. It was demonstrated that by varying the coupling strength and uncoupled frequency distribution between the oscillators, frequency synchronization and phase relationships could be controlled. This was examined in isolated pairs of oscillators and in cases where the entire network was interacting. Coupling was achieved with discrete resistors that could be autonomously interchanged with digitally controlled switches. These results build upon a small body of experimental studies by examining a coupling architecture wherein impedance interactions between the oscillators made amplitude dynamics relevant. This is a fundamental step toward fully understanding patterns and behavior in practical networks of coupled MEMS oscillators. The potential for the network to be used in neuromorphic computing and pattern recognition applications is also discussed.
机译:呈现了三种电阻耦合微机电系统(MEMS)的基于Colpitts振荡器的网络的实验表征。在印刷电路板上制造振荡器,并由正反馈回路中的16MHz石英谐振器组成,其在由DC电压供电供电时产生持续的极限循环振荡。据证明,通过改变振荡器之间的耦合强度和频率分布,可以控制频率同步和相位关系。这是在分离的振荡器上检查的,并且在整个网络交互的情况下。通过可分立电阻器实现耦合,可以通过数字控制开关自主地互换。这些结果通过检查振荡器之间的阻抗相互作用来构建在实验研究的小型实验研究时,这些结果在振荡器之间进行幅度动态相关。这是在耦合MEMS振荡器的实际网络中完全理解模式和行为的基本步骤。还讨论了用于在神经形态计算和模式识别应用中使用的网络的可能性。

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