DocumentCode :
3147787
Title :
Dynamical implications of using neural networks as controllers
Author :
Thomas, Robert J. ; Sakk, Eric
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fYear :
1991
fDate :
23-26 Jul 1991
Firstpage :
134
Lastpage :
138
Abstract :
The authors examine the usefulness of the feedforward neural network as a controller. For illustrative purposes, the authors consider the case of controlling two-dimensional linear systems. Observations are then made which generalize to higher dimensions and nonlinear systems. Examples are provided to verify the results. In particular, a classical power system stabilizer is examined to demonstrate the feasibility of using a neural controller
Keywords :
feedforward neural nets; power engineering computing; power system stability; 2D linear systems; feedforward neural network; power system stabilizer; Backpropagation algorithms; Control systems; Feedforward neural networks; Linear systems; Neural networks; Neurons; Nonlinear systems; Power systems; Shape; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
Type :
conf
DOI :
10.1109/ANN.1991.213511
Filename :
213511
Link To Document :
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