DocumentCode :
1656571
Title :
Identification and control of smart structures using neural networks: a survey
Author :
Rao, Vittal ; Damle, Rajendra
Author_Institution :
Dept. of Electr. Eng. & Intelligent Syst. Center, Missouri Univ., Rolla, MO, USA
Volume :
1
fYear :
1994
Firstpage :
91
Abstract :
This paper outlines some of the structural identification and robust control methods used for smart structure applications. Experimental results of both identification and robust control of two smart structure test articles has been presented. A new adaptive learning rate algorithm and an adaptive neuron have been introduced to enhance learning in multilayered neural networks. A block diagram of a robust controller implementation using the Intel´s 80170NX analog neural network has also been presented
Keywords :
adaptive systems; feedforward neural nets; identification; intelligent control; intelligent structures; learning (artificial intelligence); neurocontrollers; robust control; Intel 80170NX; adaptive learning rate algorithm; adaptive neuron; analog neural network; multilayered neural networks; robust control; smart structure control; structural identification; Backpropagation algorithms; Control systems; Intelligent structures; Mathematical model; Neural networks; Neurons; Robust control; Shape control; State-space methods; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
Type :
conf
DOI :
10.1109/CDC.1994.411040
Filename :
411040
Link To Document :
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