Abstract
This paper proposes new adaptive control schemes with neural networks (NN) for Wiener type of nonlinear systems which have output nonlinearity. Firstly, by adopting a robust adaptive control law and a functional link network (FLN), we present an adaptive linearizing scheme as a primary step for a model reference control scheme, where the FLN compensates the output nonlinearity. Secondly, we analyze the stability of the adaptive linearizing scheme by using a robust adaptive control technique, and clarify that all the parameters are bounded and that the boundedness of all the signals in the closed loop is guaranteed under some reasonable conditions. Thirdly, based on the linearizing scheme, we present a new direct model reference adaptive control scheme by choosing the reference output appropriately. Moreover, the stability of the system is guaranteed under several conditions in a similar manner. Finally, we illustrate the effectiveness of the proposed scheme through some numerical examples.
