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A Novel Self-adaptive Circuit Design Technique Based on Evolvable Hardware
Jun-Bin Zhang; Jin-Yan Cai; Ya-Feng Meng; Tian-Zhen Meng
发表期刊International Journal of Automation and Computing
ISSN1476-8186
2020
卷号17期号:5页码:744-751
摘要Since traditional fault tolerance methods of electronic systems are based on redundant fault tolerance technique, and their structures are fixed when circuits are designed, the self-adaptive ability is limited. In order to solve these problems, a novel circuit self-adaptive design technique based on evolvable hardware (EHW) is proposed. It features robustness, self-organization and self-adaption. It can be adapted to a complex environment through dynamic configuration of the circuit. In this paper, the proposed technique simulated. The consumption of hardware resources and the number of convergence iterations researched. The effectiveness and superiority of the proposed technique are verified. The designed circuit has the ability of resistible redundant-state interference (RRSI). The proposed technique has a broad application prospect, and it has great significance.
关键词Circuit design self-adaptive design redundant fault tolerance technique evolvable hardware (EHW) evolutionary algorithms (EA).
DOI10.1007/s11633-016-1000-8
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/42272
专题学术期刊_Machine Intelligence Research
作者单位Department of Electronic and Optical Engineering, Mechanical Engineering College, Shijiazhuang 050003, China
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GB/T 7714
Jun-Bin Zhang,Jin-Yan Cai,Ya-Feng Meng,et al. A Novel Self-adaptive Circuit Design Technique Based on Evolvable Hardware[J]. International Journal of Automation and Computing,2020,17(5):744-751.
APA Jun-Bin Zhang,Jin-Yan Cai,Ya-Feng Meng,&Tian-Zhen Meng.(2020).A Novel Self-adaptive Circuit Design Technique Based on Evolvable Hardware.International Journal of Automation and Computing,17(5),744-751.
MLA Jun-Bin Zhang,et al."A Novel Self-adaptive Circuit Design Technique Based on Evolvable Hardware".International Journal of Automation and Computing 17.5(2020):744-751.
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