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Cooperative Output Regulation of Heterogeneous Linear Multi-Agent Networks via ${H_{infty }}$ Performance Allocation

机译:通过 $ {H _ { infty}} $ 的异构线性多Agent网络的协作输出调节绩效分配

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摘要

The cooperative output regulation (COR) problem of heterogeneous linear multi-agent networks [multi-agent systems (MASs)] is studied in the paper. Agents are allowed to be inherently heterogeneous linear time-invariant systems and the communication graph is not restricted to be acyclic. Both state-and output-feedback control protocols that make use of neighbors' output information are considered. In light of robust control theory and robust output regulation theory, small-gain solvability conditions with closed-loop pole specifications are first derived. Then, an H-infinity performance allocation approach is proposed for protocol design, where algorithms for optimizing graph weights and designing protocol gains are constructed, respectively. Both continuous-time (CT) and discrete-time MASs are investigated in a unified framework. In addition, solvability of the COR problem is further discussed from the graph, agent, and exosystem aspects, respectively. It is proved that the proposed approach pre-explicitly ensures the solvability of the COR problem for either of the three cases: the graph is acyclic; for CT MASs, agents are minimum-phase and right-invertible; and for CT MASs, the poles of the exosystem have zero real part and agents are right-invertible.
机译:本文研究了异构线性多智能体网络[多智能体系统(MAS)]的协同输出调节(COR)问题。代理可以是固有的异构线性时不变系统,并且通信图不限于非循环。同时考虑了利用邻居的输出信息的状态和输出反馈控制协议。根据鲁棒控制理论和鲁棒输出调节理论,首先得出具有闭环极点规格的小增益可解性条件。然后,提出了一种用于协议设计的H-无限性能分配方法,分别构造了用于优化图权重和设计协议增益的算法。在统一框架中研究了连续时间(CT)和离散时间MAS。此外,还将分别从图形,代理和外部系统方面进一步讨论COR问题的可解性。事实证明,所提出的方法对于三种情况中的任何一种都能明确地保证COR问题的可解性。对于CT MAS,代理是最小相位和右可逆的;对于CT MAS,外系统的极点的实部为零,代理是右可逆的。

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