CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism
Wang, Ding1,2; Mu, Chaoxu2
Source PublicationSCIENCE CHINA-INFORMATION SCIENCES
2017-05-01
Volume60Issue:5
SubtypeEditorial Material
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11432-016-9022-1
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4162065) ; Tianjin Natural Science Foundation(14JCQNJC05400) ; Early Career Development Award of SKLMCCS ; Research Fund of Tianjin Key Laboratory of Process Measurement and Control(TKLPMC-201612) ; 61273140 ; 61304018 ; 61304086 ; 61533017 ; U1501251)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000405775100003
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15273
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Tianjin Univ, Sch Elect & Informat Engn, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ding,Mu, Chaoxu. Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism[J]. SCIENCE CHINA-INFORMATION SCIENCES,2017,60(5).
APA Wang, Ding,&Mu, Chaoxu.(2017).Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism.SCIENCE CHINA-INFORMATION SCIENCES,60(5).
MLA Wang, Ding,et al."Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism".SCIENCE CHINA-INFORMATION SCIENCES 60.5(2017).
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