Model-Based Approach to Engineering Resilience in Multi-UAV Systems
Multi-UAV Operations are an area of great interest in government, industry, and research community. In multi-UAV operations, a group of unmanned aerial vehicles (UAVs) are deployed to carry out missions such as search and rescue or disaster relief. As multi-UAV systems operate in an open operational...
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doaj-f925722e84ff4612bfdfd3435ef334e42020-11-24T22:09:56ZengMDPI AGSystems2079-89542019-02-01711110.3390/systems7010011systems7010011Model-Based Approach to Engineering Resilience in Multi-UAV SystemsEdwin Ordoukhanian0Azad M. Madni1Department of Astronautical Engineering, Systems Architecting and Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USADepartment of Astronautical Engineering, Systems Architecting and Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USAMulti-UAV Operations are an area of great interest in government, industry, and research community. In multi-UAV operations, a group of unmanned aerial vehicles (UAVs) are deployed to carry out missions such as search and rescue or disaster relief. As multi-UAV systems operate in an open operational environment, many disrupting events can occur. To this end, resilience of these systems is of great importance. The research performed and reported in this paper utilizes simulation-based research methodology and demonstrates that resilience of multi-UAV systems can be achieved by real-time evaluation of resilience alternatives during system operation. This evaluation is done using a dynamic utility function where priorities change as a function of context. Simulation results show that resilience response can in fact change depending on the context.https://www.mdpi.com/2079-8954/7/1/11multi-UAV systemsystem-of-systemsresiliencedynamic decision making |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Edwin Ordoukhanian Azad M. Madni |
spellingShingle |
Edwin Ordoukhanian Azad M. Madni Model-Based Approach to Engineering Resilience in Multi-UAV Systems Systems multi-UAV system system-of-systems resilience dynamic decision making |
author_facet |
Edwin Ordoukhanian Azad M. Madni |
author_sort |
Edwin Ordoukhanian |
title |
Model-Based Approach to Engineering Resilience in Multi-UAV Systems |
title_short |
Model-Based Approach to Engineering Resilience in Multi-UAV Systems |
title_full |
Model-Based Approach to Engineering Resilience in Multi-UAV Systems |
title_fullStr |
Model-Based Approach to Engineering Resilience in Multi-UAV Systems |
title_full_unstemmed |
Model-Based Approach to Engineering Resilience in Multi-UAV Systems |
title_sort |
model-based approach to engineering resilience in multi-uav systems |
publisher |
MDPI AG |
series |
Systems |
issn |
2079-8954 |
publishDate |
2019-02-01 |
description |
Multi-UAV Operations are an area of great interest in government, industry, and research community. In multi-UAV operations, a group of unmanned aerial vehicles (UAVs) are deployed to carry out missions such as search and rescue or disaster relief. As multi-UAV systems operate in an open operational environment, many disrupting events can occur. To this end, resilience of these systems is of great importance. The research performed and reported in this paper utilizes simulation-based research methodology and demonstrates that resilience of multi-UAV systems can be achieved by real-time evaluation of resilience alternatives during system operation. This evaluation is done using a dynamic utility function where priorities change as a function of context. Simulation results show that resilience response can in fact change depending on the context. |
topic |
multi-UAV system system-of-systems resilience dynamic decision making |
url |
https://www.mdpi.com/2079-8954/7/1/11 |
work_keys_str_mv |
AT edwinordoukhanian modelbasedapproachtoengineeringresilienceinmultiuavsystems AT azadmmadni modelbasedapproachtoengineeringresilienceinmultiuavsystems |
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1725809926420299776 |