Title :
NN-ANARX structure based dynamic output feedback linearization for control of nonlinear MIMO systems
Author_Institution :
Tallinn Univ. of Technol., Tallinn
Abstract :
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.
Keywords :
MIMO systems; autoregressive processes; feedback; inverse problems; linearisation techniques; neurocontrollers; nonlinear control systems; additive nonlinear autoregressive exogenous structure; control algorithm; dynamic output feedback linearization; inverse function; neural networks; nonlinear MIMO system control; Control design; Control system analysis; Control system synthesis; Control systems; Linear feedback control systems; MIMO; Neural networks; Neurons; Nonlinear control systems; Output feedback; ANARX model; dynamic output feedback linearization; neural networks; nonlinear MIMO systems; nonlinear control systems;
Conference_Titel :
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1282-2
Electronic_ISBN :
978-1-4244-1282-2
DOI :
10.1109/MED.2007.4433965
