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Mean-square composite-rotating consensus of second-order systems with communication noises
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作者 Li-po Mo Shao-yan Guo Yong-guang Yu 《Chinese Physics B》 SCIE EI CAS CSCD 2018年第7期242-247,共6页
We study the mean-square composite-rotating consensus problem of second-order multi-agent systems with communication noises, where all agents rotate around a common center and the center of rotation spins around a fix... We study the mean-square composite-rotating consensus problem of second-order multi-agent systems with communication noises, where all agents rotate around a common center and the center of rotation spins around a fixed point simultaneously. Firstly, a time-varying consensus gain is introduced to attenuate to the effect of communication noises. Secondly, sufficient conditions are obtained for achieving the mean-square composite-rotating consensus. Finally, simulations are provided to demonstrate the effectiveness of the proposed algorithm. 展开更多
关键词 multi-agent systems mean-square consensus composite-rotating communication noises
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Collective composite-rotating consensus of multi-agent systems
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作者 林鹏 卢婉婷 宋永端 《Chinese Physics B》 SCIE EI CAS CSCD 2014年第4期178-182,共5页
This paper investigates a distributed composite-rotating consensus problem of second-order multi-agent systems, where all agents move in a nested circular orbit. A distributed control law is proposed which contains tw... This paper investigates a distributed composite-rotating consensus problem of second-order multi-agent systems, where all agents move in a nested circular orbit. A distributed control law is proposed which contains two parts: the local state feedback that guarantees the circular motion and the distributed relative state feedback that guarantees the consensus of all agents. A sufficient condition is derived to drive all agents as well as ensure their circle centers make circular motion in a distributed manner. Finally, a numerical simulation is included to demonstrate our theoretical results. 展开更多
关键词 composite-rotating consensus second-order dynamics complex systems
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