DocumentCode :
700650
Title :
NLq neural control theory: Case study for a ball and beam system
Author :
Verreist, H. ; Van Acker, K. ; Suykens, J. ; Motmans, B. ; De Moor, B. ; Vandewalle, J.
Author_Institution :
Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium
fYear :
1997
fDate :
1-7 July 1997
Firstpage :
1303
Lastpage :
1308
Abstract :
In this paper we design a linear dynamic output feedback controller for a ball and beam system based on an identified neural state space model. This is done by applying dynamic backpropagation, constrained by NLq internal or I/O stability conditions. The performance of the controller has been tested on a real ball and beam set-up.
Keywords :
backpropagation; feedback; linear systems; neurocontrollers; stability; state-space methods; I/O stability conditions; NLq neural control theory; NLq internal; ball-and-beam system; dynamic backpropagation; linear dynamic output feedback controller design; neural state space model; Backpropagation; Closed loop systems; Cost function; Stability criteria; Training; Neural nets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6
Type :
conf
Filename :
7082280
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=700650
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