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.
机构:
South China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R ChinaSouth China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R China
Gong, Ping
Han, Qing-Long
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Swinburne Univ Technol, Sch Software & Elect Engn, Melbourne, Vic 3122, AustraliaSouth China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R China
Han, Qing-Long
Lan, Weiyao
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机构:
Xiamen Univ, Dept Automat, Xiamen 361005, Peoples R ChinaSouth China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R China
机构:
South China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R ChinaSouth China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R China
Gong, Ping
Han, Qing-Long
论文数: 0引用数: 0
h-index: 0
机构:
Swinburne Univ Technol, Sch Software & Elect Engn, Melbourne, Vic 3122, AustraliaSouth China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R China
Han, Qing-Long
Lan, Weiyao
论文数: 0引用数: 0
h-index: 0
机构:
Xiamen Univ, Dept Automat, Xiamen 361005, Peoples R ChinaSouth China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R China