关于随机双线性控制

R. Mohler, W. Kolodziej
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引用次数: 2

摘要

目的是提供当前双线性随机系统,BLSS及其应用的研究综述,以及最优滤波的初步结果。BLSS自然出现在广义的人口统计过程中,例如可能出现在免疫学、核物理学、物种生物种群和人口统计学中。例如,在免疫系统中,双线性微分方程描述了由于质量作用定律而导致的细胞分裂和抗体受体与外来分子的化学结合。对于细胞类别的分裂和分化概率,可以引入乘法随机系数。累加性噪声可能出现在细胞的骨髓源、不明确的附属细胞的影响和“测量”中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On stochastic bilinear control
The object is to provide a condensed review of current research on bilinear stochastic systems, BLSS and their application, along with preliminary results on optimal filtering. BLSS arise naturally for generalized demographic processes such as may appear in immunology, nuclear physics, biological populations of species and human demography. For example, in the immune system bilinear differential equations describe cell division and chemical binding of antibody receptors to alien molecules due to the law of mass action. Multiplicative stochastic coefficients may be introduced for probabilities of division and differentiation of classes of cells. Additive noise may appear from the bone marrow source of cells, the effects of ill-defined accessory cells and from "measurements".
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