DocumentCode :
1495478
Title :
Neural network α-th order inverse system method for the control of nonlinear continuous systems
Author :
Dai, X. ; Liu, J. ; Feng, C. ; He, D.
Author_Institution :
Dept. of Autom. Control Eng., Southeast Univ., Nanjing, China
Volume :
145
Issue :
6
fYear :
1998
fDate :
11/1/1998 12:00:00 AM
Firstpage :
519
Lastpage :
522
Abstract :
The ANN α-th order inverse system is composed of a single static artificial neural network and several integrators. By combining the α-th order inverse system with an additional linear controller designed according to conventional theory of linear continuous systems, a composite control method is formed and the effective control of the original system can be completed. Simulation results show that this method applies to general linear or nonlinear continuous systems with simple construction of the controller for easy implementation
Keywords :
inverse problems; neurocontrollers; nonlinear control systems; composite control method; integrators; linear continuous systems; neural network α-th order inverse system method; nonlinear continuous system control; static artificial neural network;
fLanguage :
English
Journal_Title :
Control Theory and Applications, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2379
Type :
jour
DOI :
10.1049/ip-cta:19982411
Filename :
756362
Link To Document :
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