时变网络中状态相关噪声的一致性

Bo Wang, Yu-Ping Tian
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引用次数: 1

摘要

研究了具有相对状态相关测量噪声的离散多智能体系统的一致性问题。首先,分析了切换拓扑下无噪声系统的一致性。然后,在噪声的鞅差分假设下,证明了对于一类满足一致根(UR)和周期假设的开关拓扑,通过给定较小的分布控制增益,可以获得均方(m.s.)和几乎确定(a.s.)一致性。此外,给出了交换拓扑为UR和联合模有限(UMF)时,保证m.s.和a.s.一致性的充分条件。我们还分析了最终共识点的统计性质。数值算例说明了所得结果的有效性。
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Consensus with relative-state-dependent noises in time-varying networks
This paper studies the consensus problem of discrete-time multi-agent systems with relative-state-dependent (RSD) measurement noises. Firstly, consensus is analyzed for noise-free systems under the switching topologies. Then, under a martingale-difference assumption on the noises, it is proved that, by giving a small distributed control gain, the mean square (m.s.) and almost sure (a.s.) consensus can be obtained for a class of switching topology satisfying the uniformly rooted (UR) and “period” assumption. Besides, a sufficient condition to guarantee the m.s. and a.s. consensus is given if the switching topology is UR and union-mode-finite (UMF). We also analyze the statistic properties of the final consensus point. Numerical examples are given to illustrate the effectiveness of the results.
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