Adaptive control for BTT missile system based on SISO nonaffine model

A direct adaptive control design method was proposed for a class of uncertain single-input single-output (SISO) nonaffine nonlinear system using multilayer neural networks (MNNs). The proposed approach used MNNs to approximate and adaptively cancel the unknown part of the inverse functions. Then, Inverse design, backstepping design, and feedback linearization techniques were incorporated to design the direct adaptive control law. The adaptive tuning rules for updating the parameters of MNNs were derived by the Lyapunov stability theorem. The developed control scheme guarantees the uniform ultimate boundedness of the closed-loop adaptive system. Finally, pitch channel numerical simulation study of BTT missile was presented to demonstrate the effectiveness of the proposed method.