This article addresses the problem of average consensus in a multi-agent system when the desired consensus quantity is a time varying signal. Recently, the EDCHO protocol leveraged high order sliding modes to achieve exact consensus under a constrained set of initial conditions, limiting its applicability to static networks. In this work, we propose REDCHO, an extension of the previous protocol which is robust to mismatch in the initial conditions, making it suitable to use cases in which connection and disconnection of agents is possible. The convergence properties of the protocol are formally explored. Finally, the effectiveness and advantages of our proposal are shown with concrete simulation examples showing the benefits of REDCHO against other methods in the literature.
翻译:本条涉及多试剂系统中在所希望的协商一致数量是一个时差不同信号时的平均共识问题。最近,EDCHO协议利用了高顺序滑动模式,在一套有限的初始条件下达成准确的共识,将其适用范围限制在静态网络上。在这项工作中,我们建议REDCHO延长以前的议定书,使其在初始条件下保持不匹配,使之适合于使用可能使代理人发生联系和脱节的情况。协议的趋同特性得到了正式探讨。最后,我们的建议的有效性和优点以具体的模拟实例显示REDCHO相对于文献中的其他方法的好处。