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A method for testing driven dynamical systems with evolved excitations and its application to phase-locked loops

机译:一种用于测试具有演化激励的动力系统的方法及其在锁相环中的应用

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Differential evolution is used to search the parameter space of a system of ordinary differential equations (ODEs). For each tested parameter set, one time series resulting from integration of the ODE system is used to drive a dynamic system of interest. A fitness function is designed such that the response of the driven system is forced to have properties that are desirable to the practitioner. The dynamic versatility of a nonlinear ODE system coupled with an evolutionary algorithm search of its parameter space allows for significant improvement in excitation fitness. This input tailoring technique is generally applicable to a number of problems and is shown in this work to generate a chaotic modulation that reduces the power required to disrupt normal operation of a phase-locked loop.
机译:微分进化用于搜索常微分方程(ODE)系统的参数空间。对于每个测试的参数集,使用由ODE系统集成产生的一个时间序列来驱动感兴趣的动态系统。设计适合度功能,以使从动系统的响应被迫具有从业者所需的特性。非线性ODE系统的动态多功能性与其参数空间的进化算法搜索相结合,可以显着提高激励适应性。这种输入调整技术通常适用于许多问题,并且在这项工作中显示出它可以产生混沌调制,从而降低了破坏锁相环正常工作所需的功率。

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