Online identification of a nonlinear mechatronic system

Control Engineering Practice

Volumn 12, Issue 11, 2004, Pages 1465-1478

  Angerer, Bernhard T ^a   Hintz, Christian ^a   Schröder, Dierk ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Gradient methods; Identification; Modeling and observers; Neural networks; Nonlinear systems; Structural parameters; Volterra series

Indexed keywords

COMPUTER SIMULATION; CONTROL EQUIPMENT; EQUIPMENT TESTING; FRICTION;

NONLINEAR MECHATRONIC SYSTEMS; NONLINEAR TWO-MASS SYSTEMS;

NONLINEAR SYSTEMS;

NEURAL NETWORK; NON-LINEAR SYSTEM;

EID: 3142735877     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2004.03.005     Document Type: Article

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