RBF Neural Networks
نویسندگان
چکیده
An adaptive output feedback control scheme is p r e sented for output tracking of a class of continuoustime nonlinear plants. An FU3F neural network is used to adaptively compensate for the plant nonlinearities. The network weights are adapted using a Lyapunovbased design. The method uses parameter projection, control saturation, and a high-gain observer to achieve semi-global uniform ultimate boundedness. The efficacy of the proposed method is demonstrated through simulations. The simulations also show that by using adaptive control in conjunction with robust control, it is possible to tolerate larger approximation errors r e sulting from the use of lower-order networks.
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