DocumentCode
1647622
Title
NN-ANARX Structure for Control of Nonlinear SISO and MIMO Systems: Neural Networks Based Approach
Author
Eduard, P. ; Juri, B.
Author_Institution
Tallinn Univ. of Technol., Tallinn
fYear
2007
Firstpage
138
Lastpage
144
Abstract
An application of neural networks based additive nonlinear autoregressive exogenous (NN-ANARX) structure for modeling and control of nonlinear SISO and MIMO systems is presented in the paper. A novel neural network based approach for calculation of control signals by using NN-ANARX based dynamic output linearization algorithm is proposed in the paper. The effectiveness of the approach proposed in the paper is demonstrated on example.
Keywords
MIMO systems; autoregressive processes; linearisation techniques; neurocontrollers; nonlinear control systems; MIMO system control; additive nonlinear autoregressive exogenous structure; dynamic output linearization algorithm; neural network; nonlinear SISO system control; Control system synthesis; Control systems; Heuristic algorithms; Linear feedback control systems; MIMO; Mathematical model; Neural networks; Nonlinear control systems; Nonlinear systems; Output feedback; ANARX model; dynamic output feedback linearization; neural networks; nonlinear MIMO systems; nonlinear control systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Type
conf
DOI
10.1109/CHICC.2006.4347185
Filename
4347185
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