多智能体系统的H2次优控制

Yuan Gao, Junjie Jiao, S. Hirche
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引用次数: 0

摘要

本文研究了线性多智能体系统的静态反馈分布式H2次优控制问题。给定多个自治领导者,多个追随者和一个H2成本函数,我们的目标是设计一个分布式协议,在相关H2成本小于先验给定上界的情况下实现遏制控制。为此,我们首先证明H2次优控制问题可以等价地转化为一组独立系统的H2次优控制问题。在此基础上,提出了一种计算分布式协议的设计方法。反馈增益的计算涉及一个Riccati不等式,该不等式的维数等于agent状态的维数。通过仿真算例说明了该协议的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
H2 suboptimal containment control of multi-agent systems
This paper deals with the distributed H2 suboptimal containment control problem by static state feedback for linear multi-agent systems. Given multiple autonomous leaders, a number of followers, and an H2 cost functional, we aim to design a distributed protocol that achieves containment control while the associated H2 cost is smaller than an a priori given upper bound. To that end, we first show that the H2 suboptimal containment control problem can be equivalently recast into the H2 suboptimal control problem of a set of independent systems. Based on this, a design method is provided to compute such a distributed protocol. The computation of the feedback gain involves a single Riccati inequality whose dimension is equal to the dimension of the states of the agents. The performance of the proposed protocol is illustrated by a simulation example.
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