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RBFNN-based multiple steady states controller for nonlinear system and its application
Li, XG; Huang, DX; Jin, YH; Wang, J; Liao, X; Yi, Z
Source PublicationADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS
2005
Volume3498Pages:15-20
SubtypeArticle
AbstractOn-line Radial Basis Function (RBF) neural network based multiple steady states controller for nonlinear system is presented. The unsafe upper steady states can be prevented with the optimizer for Constrained General Model Controller (CGMC). Process simulator package is used to generate a wide range of operation data and the dynamic simulator is built as the real plant. The effectiveness is illustrated with a Continuous Stirred Tank Reactor (CSTR) and OPC tools are developed for on-line data acquisition and computation.
WOS HeadingsScience & Technology ; Technology
WOS KeywordPREDICTIVE CONTROL ; MODEL
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000230167700003
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9151
Collection09年以前成果
Affiliation1.Tsing Hua Univ, Dept Automat, Beijing 100084, Peoples R China
2.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligent Sci, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Li, XG,Huang, DX,Jin, YH,et al. RBFNN-based multiple steady states controller for nonlinear system and its application[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS,2005,3498:15-20.
APA Li, XG,Huang, DX,Jin, YH,Wang, J,Liao, X,&Yi, Z.(2005).RBFNN-based multiple steady states controller for nonlinear system and its application.ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS,3498,15-20.
MLA Li, XG,et al."RBFNN-based multiple steady states controller for nonlinear system and its application".ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS 3498(2005):15-20.
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