Rotary Inverted Pendulum Identification for Control by Paraconsistent Neural Network

Rotary Inverted Pendulum Identification for Control by Paraconsistent Neural Network

Artificial neural networks (ANNs) have been used over the last few decades to perform tasks by learning with comparisons. Fitting input-output models, system identification, control, and pattern recognition are some fields for ANN applications. However, problems involving uncertain situations could...

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Bibliographic Details
Main Authors: Arnaldo de Carvalho, Joao Francisco Justo, Bruno Augusto Angelico, Alexandre Manicoba de Oliveira, Joao Inacio da Silva Filho
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Paraconsistent logic
neural net
model identification
pattern analysis
rotary inverted pendulum
Online Access:https://ieeexplore.ieee.org/document/9430548/

Internet

https://ieeexplore.ieee.org/document/9430548/

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