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A Buy-Time Fault Tolerant Method in Distributed Multi-robot Systems

机译:分布式多机器人系统的购买时容错方法

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In this paper, a new buy-time fault tolerant method is proposed based on a bounding parameter estimation algorithm. The system parameters are confined within given bounds. The size of the bounds shrinks as more information becomes available. In this case, the reconfigurable control scheme can rely on the estimated parameter bounds to provide preliminary control to stabilize the system and slow down the deterioration of the system performance. Thus longer time can be gained for further identification and control reconfiguration to recover the system performance gradually. The experimental results based on a distributed multi-robot system prove that with this method, the safety critical system can buy some time before the final crash happens.
机译:基于边界参数估计算法,提出了一种新的购买时容错方法。系统参数被限制在给定的范围内。随着更多信息的可用,边界的大小会缩小。在这种情况下,可重配置控制方案可以依靠估计的参数范围来提供初步控制,以稳定系统并减慢系统性能的下降。因此,可以获得更长的时间用于进一步的识别和控制重新配置,以逐渐恢复系统性能。基于分布式多机器人系统的实验结果证明,使用这种方法,安全关键系统可以在最终撞车发生之前花一些时间。

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