Abstract
In this paper, we examine how dynamic neural network models can be used, in the development of direct robust adaptive regulators for unknown nonlinear dynamical systems. The modeling error term, whose presence is unavoidable, is not assumed to be a priori bounded. Rigorous mathematical analysis is given in order to analyze the stability properties of the closed loop system. >
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