Fuzzy neural network control for inverted pendulum
Joint Authors
Dayikh, Fatimah al-Zahra
Hamdush, Muhammad Amin
Source
Issue
Vol. 2, Issue 5 (31 Jan. 2020), pp.448-453, 6 p.
Publisher
Ziane Achour University of Djelfa
Publication Date
2020-01-31
Country of Publication
Algeria
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
This work deals with application of Neuro-Fuzzy network control approach to inverted pendulum, which motivated the researchers to use it to validate and test the control laws developed in theory.
At the beginning Neuro-fuzzy network and especially Self Tuning Fuzzy Inference System (STFIS) is presented.
Then STFIS controller is synthesized.
At the end, we present the application of this control law dedicated to inverted pendulum.
Some simulations with robustness tests are performed, which demonstrates the feasibility of the proposed control strategy.
Results of simulations containing tests of robustness are presented and realized in MATLAB environment.
American Psychological Association (APA)
Dayikh, Fatimah al-Zahra& Hamdush, Muhammad Amin. 2020. Fuzzy neural network control for inverted pendulum. Revue Domaine،Vol. 2, no. 5, pp.448-453.
https://search.emarefa.net/detail/BIM-1442291
Modern Language Association (MLA)
Dayikh, Fatimah al-Zahra& Hamdush, Muhammad Amin. Fuzzy neural network control for inverted pendulum. Revue Domaine Vol. 2, no. 5 (Jan. 2020), pp.448-453.
https://search.emarefa.net/detail/BIM-1442291
American Medical Association (AMA)
Dayikh, Fatimah al-Zahra& Hamdush, Muhammad Amin. Fuzzy neural network control for inverted pendulum. Revue Domaine. 2020. Vol. 2, no. 5, pp.448-453.
https://search.emarefa.net/detail/BIM-1442291
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-1442291