摘要

Aiming at a class of affine nonlinear system, a trajectory linearization method is used to equivalently transform the nonlinear system into a linear time-varying(LTV) system. Then, a pseudo-inverse and a fault dynamic model are established by using neural network. Finally, the nominal controller and the fault accommodation laws are established by using the Lyapunov method from parameter variety. Thus the stability of the fault-suffered system is ensured. Simulation results show the effectiveness of the proposed algorithm.

全文