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Adaptive control using neural network for an overhead crane system with uncertainty of payload mass

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This paper proposes an adaptive control method based on sliding-mode control (SMC) technique for the 3D overhead crane system when considering that the mass of payload unknown. Constant-type and function-type adaptation mechanisms are integrated into control law, in which the mass of payload is considered as a constant-type uncertainty, whereas the uncertain dynamical functionw are estimated by radial basis function neural networks (RBFNNs). | Adaptive control using neural network for an overhead crane system with uncertainty of payload mass

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Báo cáo nghiên cứu khoa học: "USING ADAPTIVE CONTROL TO SOLVE THE TRACKING PROBLEM FOR A MOBILE MANIPULATOR"
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