Volume 6, Issue 2, September 2019, Pages 105 - 108
Izhikevich Model-based Self-repairing Control for Plants with Sensor Failures and Disturbances
Authors
Masanori Takahashi
Department of Electrical Engineering and Computer Science, Tokai University, 9-1-1 Toroku, Higashi-ku, Kumamoto 862-865, Japan
Email: masataka@ktmail.tokai-u.jp
Corresponding Author
Masanori Takahashi
Received 10 November 2018, Accepted 20 November 2018, Available Online 11 September 2019.
- DOI
- 10.2991/jrnal.k.190828.007How to use a DOI?
- Keywords
- Self-repairing control; sensor failure; fault detection; dynamic redundancy; spiking neuron model
- 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.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Masanori Takahashi PY - 2019 DA - 2019/09/11 TI - Izhikevich Model-based Self-repairing Control for Plants with Sensor Failures and Disturbances JO - Journal of Robotics, Networking and Artificial Life SP - 105 EP - 108 VL - 6 IS - 2 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.190828.007 DO - 10.2991/jrnal.k.190828.007 ID - Takahashi2019 ER -