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Partial determination of particle motion using artificial neural networks

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4 Author(s)
S. K. Chappell ; Center for Manuf. & Technol. Utilization, Tennessee Technol. Univ., Cookeville, TN, USA ; A. T. Alouani ; T. R. Rice ; J. E. Gray

A technique that utilizes neural networks to provide information regarding the success or failure of a target/interceptor engagement is presented. This technique uses system identification, a Hopfield-network-based linear state estimator, and statistical decision theory. The approach is tested using simulated data. Preliminary simulation results are presented and discussed. Initial results indicate that this is a promising approach to the kill assessment problem

Published in:

Control Applications, 1992., First IEEE Conference on

Date of Conference:

13-16 Sep 1992