散射理论和线性最小二乘估计:第一部分:连续时间问题

L. Ljung, T. Kailath, B. Friedlander
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引用次数: 11

摘要

Riccati方程在散射理论中与在线性最小二乘估计理论中具有同等重要的作用。然而,在散射文献中,已经发展出一种稍微不同的处理里卡第方程的框架。我们表明,这个框架也非常适合于估计问题,它使我们能够给出已知结果的简单推导,以及得到几个新的结果。例子包括推导反向方程来解正向里卡第方程;Riccati方程的渐近性质分析随机过程的向后马尔可夫表示的推导;以及对钱德拉塞卡方程和相关的莱文森方程和乔列斯基方程的新推导和新见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scattering theory and linear least squares estimation: Part I: Continuous-time problems
The Riccati equation plays an equally important role in scattering theory as in linear least-squares estimation theory. However, in the scattering literature, a somewhat different framework of treating the Riccati equation has been developed. We show that this framework is very appropriate also for estimation problems, and that it enables us to give simple derivatitions of known results as well as to obtain several new results. Examples include the derivation of backwards equations to solve forwards Riccati equations; an analysis of the asymptotic behavior of the Riccati equation; the derivation of backwards Markovian representations of stochastic processes; and new derivations and new insights into the Chandrasekhar and related Levinson and Cholesky equations.
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