Now showing items 91-100 of 140
Mobile Robot Trajectory Tracking Using Neural Networks
This work primarily addresses the design and implementation of a neural network based controller for the trajectory tracking of a differential drive mobile robot. Two different neural network based tracking control algorithms ...
Low Cost Autopilot Design Using Fuzzy Supervisory Control
With the recent development in single-board embedded systems, wireless communications technologies and mechatronics systems, aerospace researchers have an opportunity to design an affordable controller that can enhance the ...
Cohesion and Coherence in Translation
Development of a Best-Fit ERP Identifier Model for the Public Sector in the UAE
Efficient planning and utilization of organizational resources have always been top priority for executives worldwide and across industries. Private and public sectors are seeking efficient utilizations of their resources ...
Improving INS/GPS Integration for Mobile Robotics Applications
As unmanned systems become more and more important, reliability and integrity issues become definite, specially when being implemented with low-cost (or sometimes are referred to as commercial-of-the shelf or COTS) sensors ...
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
As autonomous navigation becomes considerable and important because of the increased demand to their usage and benefits, therefore reliability and integrity issues become definite, specially when being implemented with ...
Intelligent Multi-Sensor Process Condition Monitoring
Loss of production and machine breakdown are critical challenges facing modern machining. The main objective of this work is to develop an intelligent multi-sensor process condition monitoring that is able to predict the ...
Predicting the Fatigue Failure of Fiber Reinforced Composite Materials Using Artificial Neural Networks
Artificial Neural Networks (ANN) have recently been used in modeling the mechanical behavior of fiberreinforced composite materials. ANN have also been successfully used in predicting the fatigue behavior of a certain ...