Spiking Neural Network-based Control Applied to an Underactuated System-Reference-Cited by-同舟云学术

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Spiking Neural Network-based Control Applied to an Underactuated System

Published:2023-10-25 Issue: Volume: Page:
ISSN:
Container-title:2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
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Author:

García A. Omar A.¹,Arana Diego Chavez²,Espinoza Eduardo S.³,García Carrillo Luis Rodolfo²,Cordero Antonio Osorio¹,Sornborger Andrew T.⁴

Affiliation:

1. UMI-LAFMIA CINVESTAV,Mexico City,Mexico

2. New Mexico State University,Electrical and Computer Engineering,New Mexico,USA

3. UMI-LAFMIA CONAHCYT-CINVESTAV,Mexico City,Mexico

4. Information Sciences, CCS-3 Los Alamos National Laboratory,Los Alamos,NM,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10332458/10332802/10332853.pdf?arnumber=10332853

Reference26 articles.

1. Artificial neural networks used in optimization problems

2. Neural networks for control systems—A survey

3. Kalman Filtering and Neural Networks

4. Discrete-time recurrent high order neural networks for nonlinear identification

5. Polynomial neural networks architecture: analysis and design

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