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Optimal control for infinite dimensional stochastic differential equations with infinite Markov jumps and multiplicative noise

机译:具有无限马尔可夫跳和乘性噪声的无穷维随机微分方程的最优控制

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摘要

In this paper we solve an infinite-horizon linear quadratic control problem for a class of differential equations with countably infinite Markov jumps and multiplicative noise. The global solvability of the associated differential Riccati-type equations is studied under detectability hypotheses. A nonstochastic, operatorial approach is used. Some properties of the linear stochastic systems, such as stability, stabilizability and detectability, are also discussed on the basis of a new solution representation result. A generalized Ito's formula which applies to infinite dimensional stochastic differential equations with countably infinite Markov jumps is also provided.
机译:在本文中,我们解决了一类具有无穷无限马尔可夫跳变和乘法噪声的微分方程的无限水平线性二次控制问题。在可检测性假设下研究了相关的微分Riccati型方程的整体可解性。使用一种非随机的,可操作的方法。在新的解表示结果的基础上,还讨论了线性随机系统的一些性质,例如稳定性,可稳定性和可检测性。还提供了适用于无穷大马尔可夫跳变的无穷维随机微分方程的广义Ito公式。

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