Consensus for a class of discrete-time heterogeneous networked agents

Huanyu Zhao, Hao Shen
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Abstract

This paper studies the consensus problem for a class of discrete-time linear heterogeneous networked agents. The heterogeneous networked agents considered is converted into a equivalent error system by a model transformation. We analyze whether the original networked system can achieve consensus by analyzing whether the error system is stable. A sufficient condition for the heterogeneous networked agents to achieve consensus is obtained. The results obtained are based on matrix theory and algebraic graph theory. At the last section, we give an example to show the usefulness of the obtained results.
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一类离散时间异构网络智能体的一致性
研究了一类离散时间线性异构网络智能体的一致性问题。通过模型转换,将所考虑的异构网络智能体转化为等效误差系统。我们通过分析误差系统是否稳定来分析原网络化系统是否能达成共识。得到了异构网络智能体达成共识的充分条件。所得结果基于矩阵理论和代数图理论。在最后一节,我们给出了一个例子来说明所得结果的实用性。
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