Abstract
For a class of discrete-time nonlinear systems, an available adaptive control scheme using multilayered neural networks is presented. It can not only solve the tracking problem but also simplify the neural network model. It is also shown that the closed-loop system is uniformly ultimately bounded and parameters of the neural networks are convergent.
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