Neural Networks Sliding Mode Control for a Class of Switched Nonlinear Systems

摘要

In this paper, based on RBF neural network, an adaptive tracking control scheme is given for a class of switched nonlinear systems under the arbitrary switching. The neural networks are used to approximate the unknown part of the switched nonlinear systems, and its outputs are used as the parameters of the controller to compensate for the effects of system uncertainties. Using this scheme, the error between the plant output and the desired reference output can asymptotically converge to zero under the arbitrary switching.