Radial basis function neural network with sliding mode control for robotic manipulators


In this paper, radial basis function network (RBFN) with sliding-mode controller (SMC) is designed to the joint position control of two-link robot manipulators for periodic motion and predefined trajectory tracking control. Radial basis function uses curve fitting mode to obtain the nonlinear mapping. The unavoidable learning procedure degrades its… (More)
DOI: 10.1109/ICSMC.2010.5642384


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