DocumentCode
3523513
Title
Whether and when the conventional controllers may operate well with nonlinear plants
Author
Gessing, Ryszard
Author_Institution
Inst. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
fYear
2010
fDate
23-25 June 2010
Firstpage
191
Lastpage
196
Abstract
It is shown that for strongly nonlinear plants taken from MATLAB Neural Network (NN) Control Systems Demos, the conventional controllers PD and P, which fulfill the demands of formulated in the paper the Criterion RD1 (Relative Degree = 1), are significantly better then NN controllers appearing in these Demos. Moreover the conventional controllers operate well for significantly larger changes of the reference signal without the need of their re-tuning.
Keywords
neurocontrollers; nonlinear control systems; MATLAB neural network; NN controllers; control systems demos; nonlinear plants; Artificial neural networks; MATLAB; Mathematical model; Nonlinear dynamical systems; PD control; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (MED), 2010 18th Mediterranean Conference on
Conference_Location
Marrakech
Print_ISBN
978-1-4244-8091-3
Type
conf
DOI
10.1109/MED.2010.5547666
Filename
5547666
Link To Document