Abstract: An adaptive trajectory linearized control method (ATLC) based on generalized fuzzy neural network
(G\|FNN) is proposed for a kind of multi\|input/multi\|output system with nonlinear model uncertainties. The ATLC controller is designed and analyzed for the six\|Dof nonlinear dynamics of a maneuvering reentry vehicle (MRV). The aerodynamic parameter uncertainties of MRV can become large and result in poor robustness of the standard TLC controller. The G\|FNN is introduced to approximate model nonlinear uncertainties adaptively, thus improving the controller performance. The stability of the closed\|loop control system is proved by using the Lyapunov stability theory. Simulation studies demonstrate that the ATLC controller is robust with respect to large parametric uncertainties.

Key words: Adaptive control, Fuzzy neural networks, Trajectory linearization control, Reentry vehicle