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