中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing

文献类型:期刊论文

作者Niu B(牛奔); Zhu YL(朱云龙); He XX(何小贤); Shen H(申海)
刊名Neurocomputing
出版日期2008
卷号71期号:7-9页码:1436-1448
关键词Dynamical systems Fuzzy controller Fuzzy identifier Particle swarm optimization Multi-swarm
ISSN号0925-2312
产权排序1
中文摘要Inspired by the phenomenon of symbiosis in natural ecosystems a multi-swarm cooperative particle swarm optimizer (MCPSO) is proposed as a new fuzzy modeling strategy for identification and control of non-linear dynamical systems. In MCPSO, the population consists of one master swarm and several slave swarms. The slave swarms execute particle swarm optimization (PSO) or its variants independently to maintain the diversity of particles, while the particles in the master swarm enhance themselves based on their own knowledge and also the knowledge of the particles in the slave swarms. With four benchmark functions, MCPSO is proved to have better performance than PSO and its variants. MCPSO is then used to automatically design the fuzzy identifier and fuzzy controller for non-linear dynamical systems. The proposed algorithm (MCPSO) is shown to outperform PSO and some other methods in identifying and controlling dynamical systems.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]RECURRENT NEURAL-NETWORK ; PARTICLE SWARM ; HYBRID ALGORITHM ; IDENTIFICATION ; DESIGN
收录类别SCI ; EI
语种英语
WOS记录号WOS:000255239200029
公开日期2012-05-29
源URL[http://ir.sia.cn/handle/173321/6923]  
专题沈阳自动化研究所_工业信息学研究室_先进制造技术研究室
推荐引用方式
GB/T 7714
Niu B,Zhu YL,He XX,et al. A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing[J]. Neurocomputing,2008,71(7-9):1436-1448.
APA Niu B,Zhu YL,He XX,&Shen H.(2008).A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing.Neurocomputing,71(7-9),1436-1448.
MLA Niu B,et al."A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing".Neurocomputing 71.7-9(2008):1436-1448.

入库方式: OAI收割

来源:沈阳自动化研究所

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