Self-repairing Control against Actuator Failures Using a Spiking Neuron Model
This paper presents a new Self-repairing Control System (SRCS) for plants with actuator failures. The proposed SRCS uses the well-known Izhikevich spiking neuron model as a fault detector. When the actuator fails, the neuron model is excited and then spikes occur. Thus, counting up spikes makes it p...
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| Format: | Article |
| Language: | English |
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Atlantis Press
2020-09-01
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| Series: | Journal of Robotics, Networking and Artificial Life (JRNAL) |
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| Online Access: | https://www.atlantis-press.com/article/125944528/view |