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Adaptive Bipartite Output Tracking Consensus in Switching Networks of Heterogeneous Linear Multiagent Systems Based on Edge Events
IEEE Transactions on Neural Networks and Learning Systems ( IF 10.4 ) Pub Date : 2021-07-13 , DOI: 10.1109/tnnls.2021.3089596
Juan Zhang 1 , Huaguang Zhang 1 , Yuling Liang 1 , Weizhao Song 1
Affiliation  

This article focuses on the problem of adaptive bipartite output tracking for a class of heterogeneous linear multiagent systems (MASs) by asynchronous edge-event-triggered communications under jointly connected signed topologies. By designing the observers to estimate the states of followers and the dynamic compensators to estimate the states of zero input and nonzero input leader, respectively, the fully distributed edge-event-triggered control protocol is presented. Moreover, it is proven that the bipartite output tracking problem is implemented, and the systems do not exhibit Zeno behavior under a fully distributed control strategy with edge-event-triggered mechanisms. Compared with the existing works, one of the highlights of this article is the design of triggering mechanisms, under which the leader avoids continuous information transmission and any pair of followers that make up the edge asynchronously transmit information through the edge. The methods greatly avoid unnecessary information transmission in the systems. Finally, several simulation examples are introduced to demonstrate the theoretical results obtained in this article.

中文翻译:

基于边缘事件的异构线性多智能体系统切换网络中的自适应二分输出跟踪一致性

本文重点研究了在联合连接签名拓扑下通过异步边缘事件触发通信对一类异构线性多代理系统 (MAS) 进行自适应二分输出跟踪的问题。通过设计观察器来估计跟随者的状态和动态补偿器来分别估计零输入和非零输入领导者的状态,提出了完全分布式边缘事件触发的控制协议。此外,证明了二分输出跟踪问题得到实施,并且系统在具有边缘事件触发机制的完全分布式控制策略下不会表现出 Zeno 行为。与现有作品相比,本文的亮点之一是触发机制的设计,在这种情况下,领导者避免连续的信息传输,并且构成边缘的任何一对跟随者都通过边缘异步传输信息。这些方法大大避免了系统中不必要的信息传输。最后,引入了几个仿真实例来论证本文得到的理论结果。
更新日期:2021-07-13
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