Abstract
In the previous works, several types of the Self-Repairing Control Systems (SRCS) have been developed against unknown sensor failures. The SRCS can automatically detect failures, and replace failed sensors with healthy backups so as to maintain the system stability. This paper presents a new SRCS, whose detection filter is constructed based on the spiking neuron model proposed by Izhikevich. Just counting up the number of spikes in the filtered signal makes it possible to find the sensor failure promptly. Also, in this paper, the robustness with respect to disturbances is theoretically analyzed, and it is shown that SRC can be accomplished in the presence of unknown disturbances.
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