Direct adaptive NN control of a class of feedforward systems

In this paper, direct adaptive neural-network (NN) control is presented for a class of affine nonlinear systems in the strict-feedforward form with unknown nonlinearities. The states of the system can be stabilized. The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters. Simulation results show the effectiveness of direct adaptive NN control.