scholarly journals Brain Signal Classification using Genetic Algorithm for Right-Left Motion Pattern

2018 ◽  
Vol 9 (11) ◽  
Author(s):  
Cahya Rahmad ◽  
Rudy Ariyanto ◽  
Dika Rizky
Keyword(s):  
Genetic Algorithm ◽  
Signal Classification ◽  
Motion Pattern

scholarly journals Generation of Suitable Jumping Motion Pattern for Hopping Robot under Genetic Algorithm

2000 ◽  
Vol 120 (10) ◽  
pp. 1365-1371
Author(s):  
Yoshida Yoshiro ◽  
Kamano Takyua ◽  
Yasuno Takashi ◽  
Suzuki Takayuki ◽  
Harada Hironobu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Motion Pattern ◽  
Hopping Robot

scholarly journals PI/backstepping control of snake robot optimazed by genetic algorithm

2014 ◽  
Vol 3 (2) ◽  
pp. 99 ◽  
Author(s):  
Maryam Jafari ◽  
Aref Shahmansoorian
Keyword(s):  
Genetic Algorithm ◽  
Robust Control ◽  
Sliding Mode ◽  
Tracking Error ◽  
Backstepping Control ◽  
Control Parameters ◽  
Motion Pattern ◽  
Snake Robot ◽  
The Stability ◽  
And Control

This paper describes the design of robust control of PI/Backstepping for the snake robot to control the joints motion. First, the stability of the method is proved and, by applying this controller to the robot, its motion pattern is controlled in a way that it can move and follow by mimicking the motion of real snakes on the predefined trajectories. Then, the control parameters are optimized using the Genetic Algorithm (GA). Comparing obtained results with sliding mode revealed that, the former has significantly reduced the tracking error and control energy; in addition there is no chattering phenomenon. Keywords: Snake Robot, PI/Backstepping Control, Genetic Algorithm, Control Energy.

scholarly journals Genetic Algorithm based Optimization of Uniform Circular Array

2020 ◽  
Vol 10 (6) ◽  
pp. 6403-6409
Author(s):  
V. Kumar ◽  
S. K. Dhull
Keyword(s):  
Genetic Algorithm ◽  
Signal Classification ◽  
Circular Array ◽  
Signal Parameter ◽  
Multiple Signal Classification ◽  
First Order ◽  
Forward Prediction ◽  
Array Structure ◽  
Esprit Algorithm ◽  
Better Than

Signal estimation at the antenna is a major challenge of the antenna array structure because the received signals have different directions. Therefore, in this paper, a Genetic Algorithm (GA) is applied to the uniform circular array for the optimization of array structure in regard to its geometry. On the optimized array structure, four different algorithms (Estimation of Signal Parameter via Rotational Invariance Technique – ESPRIT, First Order Forward Prediction - FOFP, Beamscan, and Multiple Signal Classification - MUSIC) have been implemented in order to estimate the signal direction accurately with quick estimation time. The accuracy has been calculated with Root Mean Square Error (RMSE) indices. From the experimental analysis, it has been found that the performance of the ESPRIT algorithm is better than the others in terms of accuracy and estimation time.

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