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On-line system identification using additive dynamic neural networks. An invariant imbedding approach

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1 Author(s)
R. Grino ; Inst. de Cibernetica, Univ. Politecnica de Catalunya, Barcelona, Spain

In this work additive dynamic neural models are used for the identification of nonlinear plants in online operation. In order to accomplish this task an invariant imbedding method and matrix calculus has been applied to the variational solution of the parameter identification problem to obtain its online version. The work also includes a complexity study of the developed solution

Published in:

Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on

Date of Conference:

21-23 Aug 1996