DocumentCode
2907976
Title
Neural network implementation to control systems: a survey of algorithms and techniques
Author
Tai, Philip ; Ryaciotaki-Boussalis, Helen A. ; Hollaway, David
Author_Institution
California State Univ., Los Angeles, CA, USA
fYear
1991
fDate
4-6 Nov 1991
Firstpage
1123
Abstract
The use of neural networks in the areas of system identification, detection, adaptive control, modeling, optimization, and robotics has been addressed by several researchers. A survey of articles on the use of neural networks to control linear and nonlinear dynamical systems is provided. A summary of algorithms and techniques used by several researchers working in the field is also given
Keywords
adaptive control; control systems; identification; linear systems; modelling; neural nets; nonlinear systems; optimisation; reviews; robots; adaptive control; control systems; detection; linear dynamical systems; modeling; neural network techniques; nonlinear dynamical systems; optimization; robotics; survey; system identification; Adaptive control; Control systems; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; System identification; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-2470-1
Type
conf
DOI
10.1109/ACSSC.1991.186622
Filename
186622
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