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Taming chaos: a numerical experiment using low-order LTI filters

机译:驯服混乱:使用低阶LTI滤波器的数值实验

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摘要

According to a recent paper by Jonckheere, Hammad, and Wu (1993), it is not possible to reduce the Kohnogorov-Sinai entropy by linear, stationary feedback, if the closed loop system is stable and minimum phase. This paper provides some extra insight into the understanding of this situation by bifurcation diagram (rather than entropy) analysis of three simple examples. In this numerical experiment, a chaotic signal is used as input to a linear filter that models the closed loop system. No forcing or tuning of the chaotic input is available. It appears that low-order LTI filters cannot tame chaos
机译:根据Jonckheere,Hammad和Wu(1993)的最新论文,如果闭环系统稳定且相位最小,则不可能通过线性固定反馈来减小Kohnogorov-Sinai熵。本文通过对三个简单示例的分叉图(而非熵)分析,提供了对这种情况的理解的一些额外见解。在此数值实验中,混沌信号用作对闭环系统建模的线性滤波器的输入。没有强制或调整混沌输入的功能。看来低阶LTI滤波器无法控制混乱

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