Neural network-assisted variable structure control scheme for control of a flexible manipulator arm
Automatica (Journal of IFAC)
Sensitivity to perturbations in variable structure systems
Journal of Computational and Applied Mathematics
Application of an auto-tuning neuron to sliding mode control
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Intelligent motion control for linear piezoelectric ceramic motor drive
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Technical Communique: A combined PID/adaptive controller for a class of nonlinear systems
Automatica (Journal of IFAC)
Soft variable-structure controls: a survey
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
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In this paper, an Adaptive Neural Network Sliding-Mode Controller (ANNSMC) design approach is proposed. We present a novel adaptive method for a Neural Network (NN) system to approximate unknown non-linear continuous functions. The proposed scheme combines the benefits of the adaptive control, NN and Sliding-Mode Control (SMC) manner without precise system model information. It has online adjusting ability to cope with the unknown parametric and external disturbance by tuning the control parameters. The proposed ANNSMC approximator is then applied in the control of a seesaw system. Simulation results of the seesaw system show that the proposed controller is feasible and effective.