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Adaptive robust tracking rbf neural networks control for industrial robot minipulators based on backstepping

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This present study proposes a design and the analysis of the novel adaptive robust neural networks (ARNNs) based on the backstepping control method for industrial robot manipulators (IRMs). In this research, the ARNNs controller has combined the advantages of Radial Basis Function neural network (RBFNN), the robust term, and adaptive backstepping control technique without the requirement of prior knowledge.
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Adaptive robust tracking rbf neural networks control for industrial robot minipulators based on backstepping

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