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A proposed neural control for the trajectory tracking of a nonholonomic mobile robot with disturbances
(2012-10-25)
In this paper, a trajectory tracking control problem for a nonholonomic mobile robot by the integration of a kinematic neural controller (KNC) and a torque neural controller (TNC) is proposed, where both the kinematic and ...
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...
Modeling and analysis of artificial neural networks applied in operations research
(Elsevier B.V., 2001-01-01)
Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a ...
Neural network for prediction of holes diameters and surface roughness in drilling process
(2011-06-13)
Several systems are currently tested in order to obtain a feasible and safe method for automation and control of drilling process. This work aims to predict the final diameters and surface roughness of titanium (Ti-6A1-4V) ...
Neurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots
(Ieee, 2018-01-01)
We developed a bioinspired algorithm to assist in the navigation of an autonomous mobile robot in dynamic environments. The robotic controller uses both an Artificial Neural Network (ANN) and a Genetic Algorithm (GA), aided ...
Neurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots
(2018-10-10)
We developed a bioinspired algorithm to assist in the navigation of an autonomous mobile robot in dynamic environments. The robotic controller uses both an Artificial Neural Network (ANN) and a Genetic Algorithm (GA), aided ...
Application of ARX neural networks to model the rate of penetration of petroleum wells drilling
(2006-12-01)
Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates ...
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...