Neural Network Black Box Approach to the Modeling and Control of Dynamical Systems-Reference-Cited by-同舟云学术

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Neural Network Black Box Approach to the Modeling and Control of Dynamical Systems

Published:2019 Issue: Volume: Page:93-129
ISSN:
Container-title:Neural Network Modeling and Identification of Dynamical Systems
language:
Short-container-title:

Author:

Tiumentsev Yury V.,Egorchev Mikhail V.

Publisher

Elsevier

Reference99 articles.

1. Nonlinear system identification: NARMAX methods in the time, frequency and spatio-temporal domains;Billings,2013

2. Process modelling for control: A unified framework using standard black-box techniques;Codrons,2005

3. Identification and control of dynamic systems using neural networks;Narendra;IEEE Trans Neural Netw,1990

4. Neural networks for nonlinear dynamic systems modelling and identification;Chen;Int J Control,1992

5. Nonlinear black-box modeling in system identification: A unified overview;Sjöberg;Automatica,1995

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