Bank-to-turn missile control system design based on improved fuzzy basis function networks

The purpose of this paper is to present systematic procedure for synthesis of nonlinear controllers for complicate nonlinear systems. The approach utilizes an improved fuzzy basis function network (FBFN) to approximate the unknown nonlinear functions of unmolded dynamics, with adaptive laws to be applied to attenuate the effects of approximation errors and external disturbances. Based on the Lyapunov stability theory, the global stability analysis showed that the states and tracking errors of the system are uniformly bounded. Numerical results show that the new controllers achieve excellent tracking performance and exhibit insensitivity to parameter variations over a wide flight envelope.