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arXiv 1609.00655math.OC
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多智能体系统中的结构化最优反馈:静态输出反馈观点

Structured Optimal Feedback in Multi-Agent Systems: A Static Output Feedback Perspective

Shen Zeng, Frank Allgöwer

摘要:

在本文中,我们将展示如何一定的结构化反馈增益必然出现的最优控制器增益在两个线性最优控制配方多智能体系统。我们考虑线性最优同步和线性最优质心镇定的情况。在前一个问题中,所考虑的代价泛函积分了同步误差的平方和输入,而在后一个问题中,所考虑的代价泛函积分了状态和输入的平方和。我们的方法是查看的结构中的反馈增益的静态输出反馈与适当的输出矩阵,并将此事实与最优控制配方。我们认为,这两个问题是特殊情况下的一个更一般的情况下,最优反馈的线性二次型调节器问题的成本泛函集成平方输出和输入是一个静态的输出反馈。在这个光的治疗导致一个非常简单和一般的解决方案,显着推广了最近的结果的线性最优同步问题。我们用几何学的观点来说明这个一般问题。

英文摘要:

In this paper we demonstrate how certain structured feedback gains necessarily emerge as the optimal controller gains in two linear optimal control formulations for multi-agent systems. We consider the cases of linear optimal synchronization and linear optimal centroid stabilization. In the former problem, the considered cost functional integrates squared synchronization error and input, and in the latter, the considered cost functional integrates squared sum of the states and input. Our approach is to view the structures in the feedback gains in terms of a static output feedback with suitable output matrices and to relate this fact with the optimal control formulations. We show that the two considered problems are special cases of a more general case in which the optimal feedback to a linear quadratic regulator problem with cost functionals integrating squared outputs and inputs is a static output feedback. A treatment in this light leads to a very simple and general solution which significantly generalizes a recent result for the linear optimal synchronization problem. We illustrate the general problem in a geometric light.

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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