Adaptive neural network control for BTT missile

Based on the Lyapunov stability theory and the approximation character of neural network, a new adaptive neural network robust controller is proposed for 6DOF BIT missile with the uncertainties. The Lyapunov function is approximated directly, and the adaptive adjusting law is adapted to assure the excellent robust stability and rejecting disturbance. Integrated design of BTT missile is carried out. The approach of controller design is simple and convenient to adjusting parameter of controller and easy to application, The simulations illustrate that the output of BTT missile can track the reference signal asymptotically.