期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷 34, 期 1, 页码 79-89出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2021.3089596
关键词
Topology; Protocols; Switches; Observers; Network topology; Robot sensing systems; Regulation; Adaptive control; bipartite control; edge-event-triggered control; jointly connected topologies
This article focuses on the problem of adaptive bipartite output tracking for a class of heterogeneous linear multiagent systems by asynchronous edge-event-triggered communications. The fully distributed edge-event-triggered control protocol is presented, and it is proven that the bipartite output tracking problem is implemented without exhibiting Zeno behavior.
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.
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