Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling

Applied Mathematical Modelling

Volumn 37, Issue 4, 2013, Pages 1694-1704

  Ding, Feng ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

Least squares; Multi innovation identification; Nonlinear system; Parameter estimation; Recursive identification; Stochastic gradient

Indexed keywords

HAMMERSTEIN SYSTEM; HIERARCHICAL IDENTIFICATION PRINCIPLE; IDENTIFICATION ALGORITHMS; LEAST SQUARE; LINEAR DYNAMICAL BLOCK; MULTI-INNOVATION IDENTIFICATION; NONLINEAR STATICS; NONLINEAR SYSTEM MODELING; RECURSIVE IDENTIFICATION; SIMULATION EXAMPLE; STOCHASTIC GRADIENT; STOCHASTIC GRADIENT ALGORITHMS;

ALGORITHMS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 84870248582     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2012.04.039     Document Type: Article

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