MRAN Neuro-Flight-Controller for Robust Aircraft Control

Abstract

In the previous chapters, the direct adaptive control strategy with the tuning rule derived from the Lyapunov stability theory was presented. In this chapter, the recently proposed MRAN algorithm [61] using a fully tuned RBFN is investigated to control a linearized aircraft model. It is well known that with a pruning strategy and EKF tuning rules, MRAN can implement a more compact network structure. This superiority has been demonstrated in many applications such as function approximation, pattern classification and nonlinear system identification. However, it is the first time an attempt to explore the use of MRAN algorithm for aircraft control applications is carried out [57].