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1 October 1990 Smart electromagnetic structures: a neural network antenna
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Abstract
Artificial neural networks(ANN5) and their ability to model and control dynamical systems for smart structures including sensors actuators and plants are being considered in our lab. Both linear and non-linear systems have been successfully modeled. We are presently working on two diverse regimes smart mechanical systems and smart electromagnetic systems. In order to better understand neural controllers as used in the smart electromagnetic structures we have directed our study of ANNs toward understanding the ability of the network to approximate system responses. We are training networks to mimic the desired output of the system. The damped sinusoid was chosen as the model and was approximated using a Jordan-like 8 iterative network. The results to date indicate that the ANNs can easily mimic these systemsthe question is whether the mechanism that the network applies can be related to the mechanisms that we understand for classical analysis. Sensor preprocessing represents a significant element in the smart material and structure concept. We are looking at certain network architectures as sensor preprocessors. Results from both these areas will be presented in this paper.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael H. Thursby, Barry G. Grossman, and Zahia Drici "Smart electromagnetic structures: a neural network antenna", Proc. SPIE 1291, Optical and Digital Gallium Arsenide Technologies for Signal Processing Applications, (1 October 1990); https://doi.org/10.1117/12.20978
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