New neural networks for adaptive control of robot manipulators

Şahin Yıldırım · Proceedings of International Conference on Neural Networks (ICNN'97) · 2002

The use of neural network for controlling of a robot is discussed in this paper. A new neural network is proposed to model and control a robot. The proposed network is a modification of the original Elman network. Also, a new control system design based on the neural network model of the robot dynamics for trajectory tracking control is studied. The proposed control system consists of a neural controller, a neural model of the robot and a P-controller. Simulation results show the effectiveness of using the neural network model in the design of the robot controller.

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