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An information geometry algorithm for distribution control

机译:用于分布控制的信息几何算法

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In this paper, we consider the problem of distribution control from the viewpoint of information geometry. Different from most existing models used in stochastic control, it is assumed that the control input directly affects the distribution of the system output in probability sense. Here, we set up a new manifold (S), meanwhile the B-spline manifold (B) and the system output manifold (M) can be referred to as its submanifolds. We give an information geometrical algorithm which can be called as geodesic-projection algorithm using the properties of manifold. In the geodesic step, we can obtain the geodesic equation from the initial point V0 = (ω10, ω20, ··· , ω(n?1)0) to the specified point Vg = (ω1g, ω2g, ··· , ω(n?1)g) in B. This gives us an optimal trajectory for the points changing along in B. In the projection step, we project the sample points selected from the geodesic onto M. The coordinates of the projections in M give the trajectory of the control input u.
机译:在本文中,我们从信息几何的角度来考虑分配控制的问题。与随机控制中使用的大多数现有模型不同,假定控制输入在概率意义上直接影响系统输出的分布。在这里,我们建立了一个新的歧管(S),同时B样条歧管(B)和系统输出歧管(M)可以称为其子歧管。我们利用流形的性质给出了一种信息几何算法,可以将其称为测地线投影算法。在测地步骤中,我们可以得到从初始点V0 =(ω10,ω20,...,ω(n?1)0)到指定点Vg =(ω1g,ω2g,...,ω)的测地方程。 B中的(n?1)g)。这为B中沿点变化的点提供了最佳轨迹。在投影步骤中,我们将从测地线中选择的采样点投影到M上。M中的投影坐标给出了控制输入​​u的轨迹。

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