Comparison between the dynamic multi-layered perceptron and the generalised Hammerstein model for experimental identification of the loading process in diesel engines-Reference-Cited by-同舟云学术

Comparison between the dynamic multi-layered perceptron and the generalised Hammerstein model for experimental identification of the loading process in diesel engines

Published:1998-02 Issue:2 Volume:6 Page:271-279
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Ayoubi M.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference26 articles.

1. Ayoubi, M., 1996. Nonlinear System Identification Based on Neural Networks with Locally Distributed Dynamics and Application to Technical Processes. VDI-Fortschritt-Berichte, Reihe 8, Nr. 591. VDI-Verlag.

2. Dynamic Multi-Layer Perceptron Networks;Ayoubi,1997

3. Ayoubi, M., Isermann, R., 1995. Identification of Nonlinear Dynamic Processes based on Dynamic Radial Basis Function Networks. AeroSense’96. Orlando.

4. Dynamic Neural Units for Nonlinear Dynamic Systems Identification. Lecture Notes in Computer Science 930;Ayoubi,1995

5. Connectionist Learning for Control;Barto,1995

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