A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinearstochasticsystem with white noises.
针对具有高斯噪声的非线性随机系统状态估计问题，提出了一种基于分段常值的贝叶斯状态估计滤波算法。
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However, recent research has shown that addition of an appropriate amount of noise can actually improve signal detection in a nonlinearsystem, an effect called stochastic resonance.
然而最近的研究发现，在非线性系统中加入适当的噪声实际上可以提高信号的察觉，就是所谓的随机共振。
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The analysis also shows that the nonlinear terms in the dynamic system equations cause the stochastic state to jump so that the circuit state can reach compatibility with the constraint equations.