Fuzzy neural network control for inverted pendulum

Joint Authors

Dayikh, Fatimah al-Zahra
Hamdush, Muhammad Amin

Source

Revue Domaine

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