Log in to save to my catalogue

A Formation Flight Method with an Improved Deep Neural Network for Multi-UAV System

A Formation Flight Method with an Improved Deep Neural Network for Multi-UAV System

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0d574e71a8054d2694aed92455119452

A Formation Flight Method with an Improved Deep Neural Network for Multi-UAV System

About this item

Full title

A Formation Flight Method with an Improved Deep Neural Network for Multi-UAV System

Publisher

Xi'an: EDP Sciences

Journal title

Xi bei gong ye da xue xue bao = Journal of Northwestern Polytechnical University, 2020-04, Vol.38 (2), p.295-302

Language

Chinese

Formats

Publication information

Publisher

Xi'an: EDP Sciences

More information

Scope and Contents

Contents

It is crucial to develop an effective controller for the multi-UAV system to contribute to the frontier fields, such as the electronic warfare. To address the dilemma of the cooperative formation with the high dimensional data, a deep neural network(NN) controller is developed in this paper. Firstly, a deep NN model is used to tune parameters of PI...

Alternative Titles

Full title

A Formation Flight Method with an Improved Deep Neural Network for Multi-UAV System

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0d574e71a8054d2694aed92455119452

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0d574e71a8054d2694aed92455119452

Other Identifiers

ISSN

1000-2758

E-ISSN

2609-7125

DOI

10.1051/jnwpu/20203820295

How to access this item