Title :
Dynamic output feedback linearization based adaptive control of nonlinear MIMO systems
Author :
Petlenkov, Eduard ; Belikov, Juri ; Nõmm, Sven ; Wyrwas, Malgorzata
Author_Institution :
Dept. of Comput. Control, Tallinn Univ. of Technol., Tallinn
Abstract :
This paper discusses application of dynamic output feedback linearization algorithm for adaptive control of nonlinear MIMO systems. Neural Network based Simplified Additive Nonlinear AutoRegressive exogenous (NN-SANARX) structure is used for identification of nonlinear MIMO systems. This structure imposes a restriction on model adaptation. The model is divided into adaptable and nonadaptable parts. After that history-stack adaptation with dynamic output feedback linearization is used for adaptive control of nonlinear MIMO systems. The effectiveness of the adaptive control technique proposed in the paper is demonstrated on numerical example.
Keywords :
MIMO systems; adaptive control; autoregressive processes; feedback; linearisation techniques; neurocontrollers; nonlinear control systems; adaptive control; dynamic output feedback linearization; history-stack adaptation; neural network; nonlinear MIMO system; simplified additive nonlinear autoregressive exogenous structure; Adaptation model; Adaptive control; Control design; Control systems; Linear feedback control systems; MIMO; Mathematical model; Neural networks; Nonlinear control systems; Output feedback;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4587026
