# Output feedback control of nonlinear systems using RBF neural networks

@article{Seshagiri2000OutputFC, title={Output feedback control of nonlinear systems using RBF neural networks}, author={S. Seshagiri and H. Khalil}, journal={IEEE transactions on neural networks}, year={2000}, volume={11 1}, pages={ 69-79 } }

An adaptive output feedback control scheme for the output tracking of a class of continuous-time nonlinear plants is presented. An RBF neural network is used to adaptively compensate for the plant nonlinearities. The network weights are adapted using a Lyapunov-based design. The method uses parameter projection, control saturation, and a high-gain observer to achieve semi-global uniform ultimate boundedness. The effectiveness of the proposed method is demonstrated through simulations. The… Expand

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