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Identification of nonlinear dynamic systems using Hammerstein-type neural network
Yu HS(余洪山); Peng, Jinzhu; Tang YD(唐延东)
Department机器人学研究室
Source PublicationMathematical Problems in Engineering
ISSN1024-123X
2014
Volume2014Issue:2014
Indexed BySCI ; EI
EI Accession number20144700235648
WOS IDWOS:000345050300001
Contribution Rank1
AbstractHammerstein model has been popularly applied to identify the nonlinear systems. In this paper, a Hammerstein-type neural network (HTNN) is derived to formulate the well-known Hammerstein model. The HTNN consists of a nonlinear static gain in cascade with a linear dynamic part. First, the Lipschitz criterion for order determination is derived. Second, the backpropagation algorithm for updating the network weights is presented, and the stability analysis is also drawn. Finally, simulation results show that HTNN identification approach demonstrated identification performances.
Language英语
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS KeywordPREDICTIVE CONTROL ; WIENER MODELS
WOS Research AreaEngineering ; Mathematics
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15661
Collection机器人学研究室
Corresponding AuthorYu HS(余洪山)
Affiliation1.College of Electrical and Information Engineering, Hunan University, Changsha, China
2.State Key Laboratory of Robotics, Shenyang, China
3.School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
Recommended Citation
GB/T 7714
Yu HS,Peng, Jinzhu,Tang YD. Identification of nonlinear dynamic systems using Hammerstein-type neural network[J]. Mathematical Problems in Engineering,2014,2014(2014).
APA Yu HS,Peng, Jinzhu,&Tang YD.(2014).Identification of nonlinear dynamic systems using Hammerstein-type neural network.Mathematical Problems in Engineering,2014(2014).
MLA Yu HS,et al."Identification of nonlinear dynamic systems using Hammerstein-type neural network".Mathematical Problems in Engineering 2014.2014(2014).
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