Neural network approach for solving UAV team cooperative control

被引：0

作者：

Luxemburg, L ^{[1
]}

Rogers, SC ^{[1
]}

机构：

[1] Inst Sci Res, Fairmont, WV 26554 USA

来源：

PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2003年

关键词：

network optimization; neural network optimization; UAV team cooperative control;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

One of the key algorithm research areas for unpiloted aerial vehicles team cooperative control is solution of network optimization models. Computational speed is an important success criterion as much of the cooperative work is done in real time. The linear programming (LP) class of approaches has been shown to be the fastest technique according to A FRL's work. In this paper a neural network (NN) approach to solving; the constrained LP problem will be introduced and compared to a typical public domain LP solver. Computational time will be used as a comparison and it will be shown that significant time savings results from the NN approach.

引用

页码：761 / 766

页数：6

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