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Regularized Transport Between Singular Covariance Matrices
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DOI：10.1109/TAC.2020.3017714.png)
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摘要
En 中文
We consider the problem of steering a linear stochastic system between two endpoint degenerate Gaussian distributions in finite time. This accounts for those situations in which some but not all of the state entries are uncertain at the initial, t=0, and final time, t=T. This problem entails nontrivial technical challenges, as the singularity of terminal state covariance causes the control to grow unbounded at the final time T. Consequently, the entropic interpolation (Schrodinger bridge) is provided by a diffusion process, which is not finite energy, thereby placing this case outside of most of the current theory. In this article, we show that a feasible interpolation can be derived as a limiting case of earlier results for nondegenerate cases, and that it can be expressed in closed form. Moreover, we show that such interpolation belongs to the same reciprocal class of the uncontrolled evolution. By doing so, we also highlight a time symmetry of the problem, contrasting dual formulations in the forward and reverse time directions, where in each, the control grows unbounded as time approaches the endpoint (in the forward and reverse time direction, respectively).
Keyword:
Covariance control
linear-quadratic control
singular covariances
stochastic bridges
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期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
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Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I线性随机系统到最终概率分布的最佳转向，第一部分OAAI
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