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Construction of fuzzy models for dynamic systems using multi-population cooperative particle swarm optimizer
Niu B(牛奔); Zhu YL(朱云龙); He XX(何小贤)
Department先进制造技术实验室
Conference Name2nd International Conference on Fuzzy Systems and Knowledge Discovery
Conference DateAugust 27-29, 2005
Conference PlaceChangsha, China
Author of SourceXiangtan Univ, IEEE Circuits & Syst Soc, IEEE Computat IntelligenceSoc, IEEE Control Syst Soc, Int Neural Network Soc, European Neural Network Soc, Chinese Assoc Artifiical Intelligence, Japanese Neural Network Soc, Int Fuzzy Syst Assoc, Asia-Pacific Neural Network Assembly, Fuzzy Math & Syst Assoc Chine, Hunan Comp Federat
Source PublicationFUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS
PublisherSPRINGER-VERLAG
Publication PlaceBERLIN
2005
Pages987-1000
Indexed BySCI ; EI ; CPCI(ISTP)
EI Accession number2005439439997
WOS IDWOS:000232217900123
Contribution Rank1
ISSN0302-9743
ISBN3-540-28312-9
AbstractA new fuzzy modeling method using Multi-population Cooperative Particle Swarm Optimizer (MCPSO) for identification and control of nonlinear dynamic systems is presented in this paper. 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. The MCPSO is used to automatic design of fuzzy identifier and fuzzy controller for nonlinear dynamic systems. The proposed algorithm (MCPSO) is shown to outperform PSO and some other methods in identifying and controlling dynamic systems.
Language英语
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8165
Collection工业信息学研究室_先进制造技术研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Shenyang, China
2.School of Graduate, Chinese Academy of Sciences, 100039, Beijing, China
Recommended Citation
GB/T 7714
Niu B,Zhu YL,He XX. Construction of fuzzy models for dynamic systems using multi-population cooperative particle swarm optimizer[C]//Xiangtan Univ, IEEE Circuits & Syst Soc, IEEE Computat IntelligenceSoc, IEEE Control Syst Soc, Int Neural Network Soc, European Neural Network Soc, Chinese Assoc Artifiical Intelligence, Japanese Neural Network Soc, Int Fuzzy Syst Assoc, Asia-Pacific Neural Network Assembly, Fuzzy Math & Syst Assoc Chine, Hunan Comp Federat. BERLIN:SPRINGER-VERLAG,2005:987-1000.
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