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Distributed adaptive fault-tolerant consensus tracking of multi-agent systems against time-varying actuator faults

机译:多智能系统对时变执行器故障的分布式自适应容错共识跟踪

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摘要

This study considers the distributed fault-tolerant consensus problem for uncertain multi-agent systems using adaptive protocol. A more general time-varying actuator fault model is given, which includes loss of effectiveness, stuck, bias and outage fault. A new distributed adaptive control scheme is developed to compensate the effect of fault, multiple delayed state perturbations, mismatched parameter uncertainties and external disturbances on leader-follower multi-agent systems. Based on the local state information of neighbouring agents, the adaptive updating protocol gains are adjusted online, which remove the assumption that the upper bounds of unknown uncertainty, delayed state perturbation and external disturbances should be known. Moreover, the consensus errors of leader-follower systems can asymptotically converge to zero. Finally, a simulation example is given to show the effectiveness of the theoretical analysis.
机译:本研究考虑了使用自适应协议的不确定多智能体系统的分布式容错共识问题。给出了一个更通用的时变执行器故障模型,该模型包括有效性损失,卡住,偏差和停机故障。开发了一种新的分布式自适应控制方案,以补偿故障,多延迟状态扰动,参数不匹配不确定性以及外部干扰对领导者跟随多主体系统的影响。基于邻近代理的本地状态信息,在线调整自适应更新协议的增益,从而消除了以下假​​设的假设:未知不确定性,延迟状态扰动和外部干扰的上限应已知。此外,领导者跟随者系统的共识误差可以渐近收敛到零。最后,给出了一个仿真实例,说明了理论分析的有效性。

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