Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems

descriptionPublicationkeyboard_double_arrow_right Article 03 Jun 2015 English Publisher:Springer Science and Business Media LLCJournal:Nonlinear Dynamics, volume 82, pages 269-280 (issn: 0924-090X, eissn: 1573-269X,

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Authors: Wang, Xuehai; Ding, Feng;

doi: 10.1007/s11071-015-2155-5

Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems

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Abstract

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Related Organizations

Hebei University
China (People's Republic of)
Jiangnan University
China (People's Republic of)
Henan University of Urban Construction
China (People's Republic of)
Xiangnan University
China (People's Republic of)

Keywords

gradient search, Identification in stochastic control theory, performance analysis, System identification, parameter estimation, recursive identification, Box-Jenkins system

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