Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework
The paper initiates a comprehensive conceptual framework for an integrated simulation environment for unmanned autonomous systems (UAS) that is capable of supporting the design, analysis, testing, and evaluation from a “system of systems” perspective. The paper also investigates the current state of...
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Format: | Article |
Language: | English |
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Wiley
2010-01-01
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Series: | Modelling and Simulation in Engineering |
Online Access: | http://dx.doi.org/10.1155/2010/736201 |
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author | M. G. Perhinschi M. R. Napolitano S. Tamayo |
author_facet | M. G. Perhinschi M. R. Napolitano S. Tamayo |
author_sort | M. G. Perhinschi |
collection | DOAJ |
description | The paper initiates a comprehensive conceptual framework for an integrated simulation environment for unmanned autonomous systems (UAS) that is capable of supporting the design, analysis, testing, and evaluation from a “system of systems” perspective. The paper also investigates the current state of the art of modeling and performance assessment of UAS and their components and identifies directions for future developments. All the components of a comprehensive simulation environment focused on the testing and evaluation of UAS are identified and defined through detailed analysis of current and future required capabilities and performance. The generality and completeness of the simulation environment is ensured by including all operational domains, types of agents, external systems, missions, and interactions between components. The conceptual framework for the simulation environment is formulated with flexibility, modularity, generality, and portability as key objectives. The development of the conceptual framework for the UAS simulation reveals important aspects related to the mechanisms and interactions that determine specific UAS characteristics including complexity, adaptability, synergy, and high impact of artificial and human intelligence on system performance and effectiveness. |
format | Article |
id | doaj-art-4e3ab9631efc4503a6aa41f00a2fc050 |
institution | Kabale University |
issn | 1687-5591 1687-5605 |
language | English |
publishDate | 2010-01-01 |
publisher | Wiley |
record_format | Article |
series | Modelling and Simulation in Engineering |
spelling | doaj-art-4e3ab9631efc4503a6aa41f00a2fc0502025-02-03T01:11:24ZengWileyModelling and Simulation in Engineering1687-55911687-56052010-01-01201010.1155/2010/736201736201Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual FrameworkM. G. Perhinschi0M. R. Napolitano1S. Tamayo2Department of Mechanical and Aerospace Engineering, West Virginia University, Evansdale Campus, Morgantown, WV 26506, USADepartment of Mechanical and Aerospace Engineering, West Virginia University, Evansdale Campus, Morgantown, WV 26506, USADepartment of Mechanical and Aerospace Engineering, West Virginia University, Evansdale Campus, Morgantown, WV 26506, USAThe paper initiates a comprehensive conceptual framework for an integrated simulation environment for unmanned autonomous systems (UAS) that is capable of supporting the design, analysis, testing, and evaluation from a “system of systems” perspective. The paper also investigates the current state of the art of modeling and performance assessment of UAS and their components and identifies directions for future developments. All the components of a comprehensive simulation environment focused on the testing and evaluation of UAS are identified and defined through detailed analysis of current and future required capabilities and performance. The generality and completeness of the simulation environment is ensured by including all operational domains, types of agents, external systems, missions, and interactions between components. The conceptual framework for the simulation environment is formulated with flexibility, modularity, generality, and portability as key objectives. The development of the conceptual framework for the UAS simulation reveals important aspects related to the mechanisms and interactions that determine specific UAS characteristics including complexity, adaptability, synergy, and high impact of artificial and human intelligence on system performance and effectiveness.http://dx.doi.org/10.1155/2010/736201 |
spellingShingle | M. G. Perhinschi M. R. Napolitano S. Tamayo Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework Modelling and Simulation in Engineering |
title | Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework |
title_full | Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework |
title_fullStr | Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework |
title_full_unstemmed | Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework |
title_short | Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework |
title_sort | integrated simulation environment for unmanned autonomous systems towards a conceptual framework |
url | http://dx.doi.org/10.1155/2010/736201 |
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