A functional-linked cerebellar model neural network (FCMNN) equipped with sine-cosine perturbed Gaussian basis functions to online approximate an unknown nonlinear term in the system dynamics of a DC motor driver is proposed in this paper. The sine-cosine perturbation in the Gaussian basis functions possessing the ability of handling rule uncertainties is quite useful for real-time applications. Then, an intelligent total sliding-mode control (ITSMC) system which is composed of a computation controller and a robust compensator is proposed.
Relation:
IET Control Theory and Applications 8(11), pp.916-926