Volume 12, Issue 11

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

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


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Esra Abdalftah*1, Dr. Abdalftah Elbori2 | Optimizing and Analyzing the stability of The Rowat-Selverston Neural Oscillator for One-Legged Locomotion | DOI : https://doi.org/10.62226/ijarst20231118

Journal Frequency: ISSN 2320-1126, Monthly
Paper Submission: Throughout the month
Acceptance Notification: Within 6 days
Subject Areas: Engineering, Science & Technology
Publishing Model: Open Access
Publication Fee: USD 60  USD 50
Publication Impact Factor: 6.76
Certificate Delivery: Digital

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