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