Dynamic average consensus (DAC) has found applications in various systems. The existing event-triggered DAC algorithms have not well addressed the issue of key communication link failures that lead to the separation of the initial communication topology. This article presents a modified event-triggered DAC algorithm that is independent of its initial conditions. As a result, it is robust against key communication link failures. In this algorithm, each agent decides locally when to transmit signals to its neighbors. In this way, the communication burden among the neighboring agents is reduced. A numerical example is provided to illustrate the effectiveness of the proposed algorithm. Moreover, the proposed algorithm is applied to a state-of-charge balance control problem of batteries in energy systems, and both simulations and hardware-in-the-loop tests are provided to demonstrate the control performance.

中文翻译：

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针对通信链路故障的可靠事件触发动态平均共识，并应用于电池控制

动态平均共识（DAC）已在各种系统中得到应用。现有的事件触发式DAC算法不能很好地解决导致初始通信拓扑分离的关键通信链路故障的问题。本文提出了一种改进的事件触发DAC算法，该算法与其初始条件无关。结果，它对于关键的通信链路故障具有鲁棒性。在此算法中，每个代理都本地决定何时将信号传输到其邻居。这样，减轻了相邻代理之间的通信负担。数值例子说明了所提算法的有效性。此外，将所提出的算法应用于能源系统中电池的电量平衡控制问题，