多智能体网络系统中动态边的协同输出调节
Cooperative output regulation of multi-agent network systems with dynamic edges
AI总结：
本文研究了具有动态边的新型线性多智能体网络系统，探讨了节点间通过动态边耦合的协同输出调节问题，提出基于反馈被动性和内部模型原理的分布式控制器，用于实现输出同步与合作控制。
摘要：
本文研究了一类新型的线性多智能体网络系统，其中节点通过动态边耦合，每个边都附带一个动态系统，其输出作为节点动态系统的外部输入，称为'邻近输入'，代表节点间的耦合作用。节点动态系统的输出作为边动态系统的输入。提出了几种协同输出调节问题，包括输出同步、输出合作和主从输出合作。输出合作被定义为通过节点输出的协作使邻近输入成为边输出的加权和，以跟踪预定义轨迹。设计了依赖于局部状态和邻近输入的分布式协同输出调节控制器，结合反馈被动性理论和内部模型原理。通过电力网络协同电流控制的仿真示例展示了分析结果的潜在应用。
英文摘要：
This paper investigates a new class of linear multi-agent network systems, in which nodes are coupled by dynamic edges in the sense that each edge has a dynamic system attached as well. The outputs of the edge dynamic systems form the external inputs of the node dynamic systems, which are termed "neighboring inputs" representing the coupling actions between nodes. The outputs of the node dynamic systems are the inputs of the edge dynamic systems. Several cooperative output regulation problems are posed, including output synchronization, output cooperation and master-slave output cooperation. Output cooperation is specified as making the neighboring input, a weighted sum of edge outputs, track a predefined trajectory by cooperation of node outputs. Distributed cooperative output regulation controllers depending on local state and neighboring inputs are presented, which are designed by combining feedback passivity theories and the internal model principle. A simulation example on the cooperative current control of an electrical network illustrates the potential applications of the analytical results.
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