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arXiv 2402.04074eess.SYcs.SY
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线性时不变系统与随机系统反馈连接的均方稳定性与可镇定性

Mean-Square Stability and Stabilizability for LTI and Stochastic Systems Connected in Feedback

Junhui Li, Jieying Lu, Weizhou Su

AI总结:

本文研究LTI MIMO系统与线性随机系统级联反馈的均方镇定问题,提出频率变异系数刻画随机不确定性相关性,并给出均方稳定与可镇定的充要条件,揭示不稳定极点、非最小相位零点、相对阶及该系数构成的基本限制。

摘要:

本文在均方意义下研究了一个线性时不变(LTI)多输入多输出(MIMO)系统与一个线性随机系统级联的反馈镇定问题。这里,线性随机系统可以建模一类相关的随机不确定性,例如由网络系统中的丢包和随机传输延迟引起的信道不确定性。通过提出一个称为频率变异系数的关键参数来刻画随机不确定性的相关性,我们给出了该MIMO随机反馈系统均方稳定性的一个充要条件。随后,给出了均方可镇定的一个充要条件,揭示了由系统的不稳定极点、非最小相位(NMP)零点、相对阶(输入延迟)以及随机不确定性的频率变异系数所施加的基本限制。最后给出一个数值例子,以说明具有并行通信信道的MIMO网络系统在均方可镇定方面的基本约束。

英文摘要:

In this paper, the feedback stabilization of a linear time-invariant (LTI) multiple-input multiple-output (MIMO) system cascaded by a linear stochastic system is studied in the mean-square sense. Here, the linear stochastic system can model a class of correlated stochastic uncertainties such as channel uncertainties induced by packet loss and random transmission delays in networked systems. By proposing a key parameter called coefficient of frequency variation to characterize the correlation of the stochastic uncertainties, we present a necessary and sufficient condition of the mean-square stability for this MIMO stochastic feedback system. After then a necessary and sufficient condition for the mean-square stabilizability is provided, which reveals a fundamental limit imposed by the system's unstable poles, nonminimum-phase (NMP) zeros, relative degrees (input delays), and the coefficient of frequency variation of the stochastic uncertainties. A numerical example is presented to illustrate the fundamental constraints in the mean-square stabilizability of MIMO networked systems with parallel communication channels.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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