NN-ANARX structure based dynamic output feedback linearization for control of nonlinear MIMO systems

An application of Neural Networks based Additive Nonlinear Autoregressive Exogenous (NN-ANARX) structure for modeling and control of nonlinear MIMO systems is presented in the paper. A subclass of NN-ANARX structure is proposed to simplify the calculation of controls by ANARX-based control technique...

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Bibliographische Detailangaben
1. Verfasser:	Petlenkov, E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	ANARX model Control design Control system analysis Control system synthesis Control systems dynamic output feedback linearization Linear feedback control systems MIMO Neural networks Neurons Nonlinear control systems nonlinear MIMO systems Output feedback
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Beschreibung
Zusammenfassung:	An application of Neural Networks based Additive Nonlinear Autoregressive Exogenous (NN-ANARX) structure for modeling and control of nonlinear MIMO systems is presented in the paper. A subclass of NN-ANARX structure is proposed to simplify the calculation of controls by ANARX-based control technique. The problem of the inverse function calculation in the control algorithm is solved. After that the ANARX-based dynamic output feedback linearization control algorithm is applied for control of nonlinear MIMO systems. The effectiveness of the approach proposed in the paper is demonstrated on examples.
DOI:	10.1109/MED.2007.4433965