NON-LINEAR SYSTEM IDENTIFICATION USING LUMPED PARAMETER MODELS WITH EMBEDDED FEEDFORWARD NEURAL NETWORKS-Reference-Cited by-同舟云学术

NON-LINEAR SYSTEM IDENTIFICATION USING LUMPED PARAMETER MODELS WITH EMBEDDED FEEDFORWARD NEURAL NETWORKS

Published:2002-03 Issue:2-3 Volume:16 Page:357-372
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

FAN YIMIN,JAMES LI C.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference11 articles.

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4. Identification of a nonlinear function in a dynamical system;MESSNER;ASME Journal of Dynamic Systems, Measurement, and Control,1993

5. A new adaptive learning rule;MESSNER;IEEE Transactions on Automatic Control,1991

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