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In this paper, an application of Neural Networks based Additive Nonlinear AutoRegressive eXogenous (NN-ANARX) structure is investigated for modeling and control of nonlinear multi-input-multi-output (MIMO) systems. A novel analytical technique for calculation of control signal is proposed. After that the ANARX-based dynamic output feedback linearization control algorithm is applied for control of...
A dynamic output feedback linearization technique for model reference control of nonlinear systems identified by an additive nonlinear autoregressive exogenous (ANARX) model. ANARX structure of the model can be obtained by training a neural network of the specific restricted connectivity structure. Linear discrete time reference model is given in the form of transfer function defining desired zeros...
This article is devoted to the training and application of neural networks based additive nonlinear autoregressive exogenous (NN-based ANARX) model. Training of NN-based ANARX model with MATLAB is discussed in detail and illustrated by examples. Dynamic state feedback linearization control algorithm is then applied for control of unknown nonlinear system
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