期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 52, 期 12, 页码 7391-7400出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2022.3154757
关键词
Topology; Ground penetrating radar; Geophysical measurement techniques; Network topology; Switches; Fluctuations; Cybernetics; Bipartite containment fluctuation; cooperative-antagonistic network (CAN); extended leader-follower (ELF) framework; modulus consensus; time-varying topology
资金
- National Natural Science Foundation of China [61922007, 61873013, U1966202]
This article focuses on overcoming the effect of time-varying topologies and identifying the behaviors of cooperative-antagonistic networks (CANs). The extended leader-follower (ELF) framework allows each leader to dynamically evolve through communication with its neighbors. The study shows the emergence of a new class of bipartite containment fluctuation behaviors in CANs, where leaders are clustered into separate groups, achieving modulus consensus, while followers fluctuate within a bounded region. A simulation example is provided to demonstrate the effectiveness of the behavior analysis results for CANs.
This article is concerned with how the effect of time-varying topologies is overcome and the behaviors of cooperative-antagonistic networks (CANs) are identified. An extended leader-follower (ELF) framework is established for CANs, in which each leader is allowed to evolve dynamically due to the communication with its neighbor leaders. It is shown that a new class of bipartite containment fluctuation behaviors emerges in the presence of the ELF framework, regardless of any structure conditions for CANs. In particular, the leaders are clustered into separate groups, each of which can realize the modulus consensus, whereas the followers may not be enabled to converge but fluctuate within the bounded region spanned by all leaders' states and their symmetric states. A simulation example is provided to demonstrate the effectiveness of the behavior analysis results developed for CANs.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据