Adaptive neural network feedback control of a passive line-of-sight stabilization system

An adaptive neural network full-state feedback controller has been designed and applied to the passive line-of-sight (LOS) stabilization system. Model reference adaptive control(MRAC) is well established for linear systems. H owever, this method cannot be utilized directly since the LOS system is non linear in nature. Utilizing the universal approximation property of neural networks, an adaptive neural network controller is presented by generalizin g the model reference adaptive control technique, in which the gains of the controller are approximated by neural networks. This removes the requireme nt of linearizing the dynamics of the system, and the stability properties of the closed-loop system can be guaranteed. (C) 1998 Elsevier Science Ltd. All rights reserved.