Volume 12, Issue 11 · IJARST · ISSN 2319-1783 / 2320-1126

Optimizing and Analyzing the stability of The Rowat-Selverston Neural Oscillator for One-Legged Locomotion

Optimizing and Analyzing the stability of The Rowat-Selverston Neural Oscillator for One-Legged Locomotion is an open-access, peer-reviewed research paper by Esra Abdalftah*1, Dr. Abdalftah Elbori2, published in Volume 12, Issue 11 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Esra Abdalftah*1, Dr. Abdalftah Elbori2

Abstract

This study analyzes the mathematical model of Neural Oscillator, known as the Roth-Silverstone model, The main goal here to optimize and analyze the stability of the Roth-Silverstone neural. The paper also discusses how to generate new rhythmic patterns to produce gait generation rhythmic patterns for one leg with two degrees of freedoms (DOF) by using the genetic algorithm (GA) with a hybrid function. Finally, this paper will show new results compare with previous studies related to Central patterns generations (CPGs) without any feedback.

DOI

https://doi.org/10.62226/ijarst20231118

PAGES : 1174 - 1181 | 8 VIEWS | 3 DOWNLOADS

How do you cite this paper?

Esra Abdalftah*1, Dr. Abdalftah Elbori2 — “Optimizing and Analyzing the stability of The Rowat-Selverston Neural Oscillator for One-Legged Locomotion.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 12, Issue 11. DOI: https://doi.org/10.62226/ijarst20231118.

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