New Event-based Control for Sampled-data Consensus of Multi-agent Systems
New Event-based Control for Sampled-data Consensus of Multi-agent Systems
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DOI：
10.1007/s12555-018-0685-6
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Long Jian;Jiangping Hu;Jun Wang;Kaibo Shi
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文献类型：
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作者：
Long Jian;Jiangping Hu;Jun Wang;Kaibo Shi
研究了一般线性多智能体系统基于事件控制的采样数据一致性问题。无领导者和领导者以下的共识问题。与已有结果不同的是，该方法假设每个跟随的智能体的状态信息是未知的，只能测量相邻智能体之间的相对输出信息。设计了一种新的基于Kx函数的输出反馈事件观测器协议，该协议比全维和降维观测器具有更低的维数.改进的基于事件的条件约束每个代理的测量误差的时间相关的阈值。此外，芝诺的行为被排除在任何两个触发事件之间的事件间时间是严格的正值下界。最后，数值仿真例子来证明所提出的控制协议的有效性。
This paper investigates the sampled-data consensus problem of general linear multi-agent systems via new event-based control. Both the leaderless and leader-following consensus problems are considered. Different from the existing results, the state information is assumed to be unknown for each following agent and only the relative output information between neighbouring agents can be measured. A newKx-functional observer-based output feedback event-based protocol is designed, which may have lower dimension than the full-order and reduced-order observer. The improved event-based condition bounds each agent’s measurement error by a time-dependent threshold. Furthermore, the Zeno behavior is excluded by showing that the inter-event time between any two triggering events is lower bounded by a strictly positive value. Finally, a numerical simulation example is presented to demonstrate the effectiveness of the proposed control protocols.