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In this paper, a finite-time adaptive fuzzy tracking control scheme is proposed for parallel manipulators with unbounded uncertainties. The proposed approach is based on fuzzy logic systems (FLS), nonsingular fast terminal sliding mode control (NFTSMC) and adaptive sliding compensation from nonlinearities in output feedback. FLS are adopted to handle system uncertainties and external disturbances...
In this paper, an adaptive proportional integral derivative (PID) based on radial basic function neural networks (APID-RBFNs) is proposed for tracking control of a 2 degree of freedom (DOF) parallel manipulator. For developing the controller, a dynamic model of this parallel manipulator is developed based on a matrix form equations. APID-RBFNs is designed to overcome external disturbances and complex...
In this paper, a detailed study to apply an adaptive proportional-derivative networks (APDNs) tracking control is proposed for redundant parallel manipulators with full-state constraints. APDNs is designed — based on the combination of the nonlinear compensation, the PD nonlinear sliding part, and feedforward radial basic function neural networks (RBFNs) with online learning. By using the Lyapunov...
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