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In this paper, an adaptive control of a parallel robot is proposed for trajectory tracking problems. This approach is based on adaptive multi-layer perceptron (MLP) neural network and sliding mode technique. The aim of this study is to design a robust controller with respect to external disturbances in order to improve the trajectory tracking. In fact, an adaptive MLP neural network is developed to...
Previous efforts in bilateral time-delay teleoperation have mainly yielded control algorithms that sacrifice performance in order to guarantee robust stability. This paper proposes a provably stable adaptive predictive controller for teleoperation systems with communication delay. The method uses the model and delay information and can adapt to uncertainties in user and environment dynamics in order...
To implement a position-based visual feedback controller for a manipulator, it is necessary to calibrate the homogeneous transformation matrix between its base frame and the vision frame besides intrinsic parameters of the vision system. The accuracy of such a calibration greatly affects the control performance. Substantial efforts must be made to obtain a highly accurate transformation matrix. In...
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