Knowledge Management System of Shenyang Institute of Automation, CAS
| A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing | |
Niu B(牛奔); Zhu YL(朱云龙) ; He XX(何小贤); Shen H(申海)
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| Department | 先进制造技术研究室 |
| Source Publication | Neurocomputing
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| ISSN | 0925-2312 |
| 2008 | |
| Volume | 71Issue:7-9Pages:1436-1448 |
| Indexed By | SCI ; EI |
| EI Accession number | 20081211157202 |
| WOS ID | WOS:000255239200029 |
| Contribution Rank | 1 |
| Keyword | Dynamical Systems Fuzzy Controller Fuzzy Identifier Particle Swarm Optimization Multi-swarm |
| Abstract | 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. |
| Language | 英语 |
| WOS Headings | Science & Technology ; Technology |
| WOS Subject | Computer Science, Artificial Intelligence |
| WOS Keyword | RECURRENT NEURAL-NETWORK ; PARTICLE SWARM ; HYBRID ALGORITHM ; IDENTIFICATION ; DESIGN |
| WOS Research Area | Computer Science |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.sia.cn/handle/173321/6923 |
| Collection | 工业信息学研究室_先进制造技术研究室 |
| Affiliation | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Graduate School, the Chinese Academy of Sciences, Beijing 100049, China |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| YWQK000020.pdf（1116KB） | 期刊论文 | 出版稿 | 开放获取 | ODC PDDL | View Application Full Text | |
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