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ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ ⅷ In this article we present a class of position control schemes for robot manipulators based on feedback of visual information processed through artificial neural networks. We exploit the approximation capabilities of neural networks to avoid the computation of the robot inverse kinematics(More)
The behavior of a multivariable predictive control scheme based on neural networks applied to a model of a nonlinear multivariable real process, consisting of a pressurized tank is investigated in this paper. The neural scheme consists of three neural networks; the first is meant for the identification of plant parameters (identifier), the second one is for(More)
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