Abstract
A neural network (NN) based adaptive output feedback controller is proposed for a class of nonlinear systems. In this control scheme, the adaptive output feedback NN controller is proposed by using an observer to estimate the states of the system. The weights of the neural network can be adjusted in terms of Lyapnuov's stability criterion. The proposed controller can be applied to nonlinear systems without exactly available knowledge of system dynamics.
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