A Review on Path Planning Algorithms for Mobile Robots
A Review on Path Planning Algorithms for Mobile Robots

Mustafa S. Abed; Omar F. Lutfy; Qusay F. Al-Doori

Volume 39, 5A , May 2021, , Page 804-820

https://doi.org/10.30684/etj.v39i5A.1941

Abstract
  Mobile robots use is rising every day. Path planning algorithms are needed to make a traveler of robots with the least cost and without collisions. Many techniques have been developed ...  Read More ...
A Simplified Recurrent Neural Network Trained by Gbest-Guided Gravitational Search Algorithm to Control Nonlinear Systems
A Simplified Recurrent Neural Network Trained by Gbest-Guided Gravitational Search Algorithm to Control Nonlinear Systems

Omar F. Lutfy; Ahmed L. Jassim

Volume 36, 12A , December 2018, , Page 1290-1301

https://doi.org/10.30684/etj.36.12A.11

Abstract
  This paper presents a feedback control strategy using a Simplified Recurrent Neural Network (SRNN) for nonlinear dynamical systems. As an enhancement for a previously reported modified ...  Read More ...
Intelligent Modeling of Metal Oxide Gas Sensor
Intelligent Modeling of Metal Oxide Gas Sensor

Omar F. Lutfy; Alaa A. Abdul-Hamead

Volume 36, 7A , July 2018, , Page 777-783

https://doi.org/10.30684/etj.36.7A.10

Abstract
  Due to the complexity of the gas detection process, traditional modeling techniques cannot provide accurate modeling performance to reproduce the behavior of this difficult process. ...  Read More ...
Internal Model Control Using a Self-Recurrent Wavelet Neural Network Trained by an Artificial Immune Technique for Nonlinear Systems
Internal Model Control Using a Self-Recurrent Wavelet Neural Network Trained by an Artificial Immune Technique for Nonlinear Systems

Omar F. Lutfy; Rand A. Majeed

Volume 36, 7A , July 2018, , Page 784-791

https://doi.org/10.30684/etj.36.7A.11

Abstract
  This paper presents a Self-Recurrent Wavelet Neural Network (SRWNN)-based Internal Model Control (IMC) for nonlinear systems. As the internal model, a Nonlinear Autoregressive Moving ...  Read More ...