Adaptive Neural Network Control for SISO Nonlinear Systems Without Apriori Knowledge of Control Direction

Adaptive neural network control is presented for a class of SISO nonlinear systems without a priori knowledge of control direction. A systematic procedure, which relaxes some rigorous restrictions on the plants in the literature at present stage, is developed based on Nussbaum-type function and RBF neural networks. The developed control scheme guarantees global stability of the closed-loop systems.