Average Consensus in Directed Networks of Multi-agents with Uncertain Time-varying Delays
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摘要: 针对带有不确定时变通信延时的有向网络多智能体系统的平均一致性问题,本文首先深入分析了弱连接且平衡的固定/切换拓扑特性.然后,通过分解系统状态变量,建立了初始系统的降维综合模型.考虑降维模型带有不确定时变延时,基于Jensen's不等式和最近提出的新型互凸方法,得到了系统平均一致性的充分条件,特别是,给出了与目前研究结果相比具有更小保守性的时变通信延时上界.最后,数值仿真验证了提出方法的可行性和有效性.Abstract: This paper investigates the average consensus problem in directed networks of multi-agent systems with uncertain time-varying delays. Fixed and switching topologies that are kept weakly connected and balanced are firstly analyzed. The original system is then transformed into a reduced dimension model. Based on Jensen0s inequality and reciprocally convex approach, sufficient conditions for average consensus are further presented. Specially, a less conservative upper bound of time-varying communication delays is derived in comparison with the existing results. Numerical examples confirm the effectiveness of the proposed method. Key words Average consensus, multi-agent systems, uncertain time-varying, reciprocally convex
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Key words:
- Average consensus /
- multi-agent systems /
- uncertain time-varying /
- reciprocally convex
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