Adaptive Output Feedback Linearization for a Class of NN-based ANARX Models

Present paper is devoted to the design of an adaptive output feedback controller for nonlinear system modelled by neural networks based Additive Nonlinear Autoregressive Exogenous structure. Off-line and on-line parameter identification of the neural networks based Additive Nonlinear Autoregressive Exogenous model using standard training algorithms are discussed in detail and illustrated by numerical simulations. The main contribution of this paper is in combining neural networks based adaptation with dynamic output feedback linearization technique.