Abdalftah  Elbori, Ali Albasher  Gumma Albarki, 
    Optimization of Nonlinear Differential Equations for Defining One Leg Human Locomotion,
    Journal of Engineering and Applied Sciences,
    Volume 15,Issue 22,
    2020,
    Pages 3674-3683,
    ISSN 1816-949x,
    jeasci.2020.3674.3683,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2020.3674.3683)
    Abstract: This study discusses how to optimize the
Bidirectional of the Central Pattern Generators (CPGs) to
produce rhythmic patterns for human locomotion by using
the enhancement Genetic algorithm and pattern search
function. It also shows how small changes in some CPG
parameters in stable domain result in different walking
gaits, optimizing bidirectional two CPGs in stable domain
do not only enhance movement but also generate
rhythmic patterns similar to the rhythmic patterns derived
from real data without any input or sensory feedback.
    Keywords: Central Patterns Generators (CPGs);modeling of one leg of human;stability analysis;optimizing nonlinear differential equations;real data