ROUGH PREDICTION OF OSCILLATIONS BY COMPUTING MAXIMAL INSTABILITY

Z. Rajilić, D. Malivuk Gak
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Abstract

We use Newton’s second law of motion assuming combination chaos with stochasticity. For a measured time series, one can compute appropriate force and then better understand and roughly predict the behavior of the observed complex system. The force parameter describing instability is of the highest importance. We consider some mechanical experiments and the average global temperature.
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通过计算最大不稳定性粗略预测振荡
我们用牛顿第二运动定律假设混沌与随机的组合。对于测量的时间序列,可以计算出适当的力,从而更好地理解和粗略地预测所观察到的复杂系统的行为。描述不稳定性的力参数是最重要的。我们考虑了一些力学实验和全球平均温度。
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