To advocate the development of new robust and reliable controllers, it has been defined a benchmark problem, where robust controllers are required for controlling a 6-Degree of Freedom (6-DOF) nonlinear F16 aircraft in auto-landing phase undergoing actuator failures. This paper attempt to provide a solution by developing a robust Neural Network (Neuro) aided H
controller. Simulation results show that the fault tolerant performance of the proposed Neuro-aided H
controller is better than H
controller under actuator failure condition, both the number of hidden neurons and the time of on-line learning are small enough to be used in engineer problems.