Modified Gradient Method for K-positive Operator Models for Unmanned Aerial Vehicle Control

被引：0
|
作者：
Dakhno, Nataliia [1 ]
Barabash, Oleg [2 ]
Shevchenko, Halyna [2 ]
Leshchenko, Olga [1 ]
Musienko, Andriy [2 ]
机构：
[1] Taras Shevchenko Natl Univ Kyiv, Fac Informat Technol, Kiev, Ukraine
[2] State Univ Telecommun, Dept Math, Kiev, Ukraine
来源：
2020 IEEE 6TH INTERNATIONAL CONFERENCE ON METHODS AND SYSTEMS OF NAVIGATION AND MOTION CONTROL (MSNMC) | 2020年
关键词：
dynamic models; decision support system; flight mission; unmanned aerial vehicles; trajectory; variation-gradient method; gradient method;
D O I：
10.1109/msnmc50359.2020.9255516
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The application of a modified gradient method to models with a K-positively defined K-symmetric operator with low nonlinearity for unmanned aerial vehicle control problems is considered. The theorem on the convergence of this method is proved in the article. The estimates obtained in the theorem characterize the rate of convergence of the method. The application of the modified gradient method to nonlinear models is reduced to solving a system of linear equations. The modified gradient method allows to study a wider class of unmanned aerial vehicles control models.
引用
收藏
页码：81 / 84
页数：4
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