Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions

The paper presents a novel methodology for the control management of a swarm of autonomous vehicles. The vehicles, or agents, may have different skills, and be employed for different missions. The methodology is based on the definition of descriptor functions that model the capabilities of the singl...

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Main Authors: Marta Niccolini, Lorenzo Pollini, Mario Innocenti
Format: Article
Language:English
Published: MDPI AG 2014-01-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:http://www.mdpi.com/2224-2708/3/1/26
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author Marta Niccolini
Lorenzo Pollini
Mario Innocenti
author_facet Marta Niccolini
Lorenzo Pollini
Mario Innocenti
author_sort Marta Niccolini
collection DOAJ
description The paper presents a novel methodology for the control management of a swarm of autonomous vehicles. The vehicles, or agents, may have different skills, and be employed for different missions. The methodology is based on the definition of descriptor functions that model the capabilities of the single agent and each task or mission. The swarm motion is controlled by minimizing a suitable norm of the error between agents’ descriptor functions and other descriptor functions which models the entire mission. The validity of the proposed technique is tested via numerical simulation, using different task assignment scenarios.
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spelling doaj.art-b5d654ab5bcf453ea25591f5a3de81432022-12-22T01:37:59ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082014-01-0131264310.3390/jsan3010026jsan3010026Cooperative Control for Multiple Autonomous Vehicles Using Descriptor FunctionsMarta Niccolini0Lorenzo Pollini1Mario Innocenti2YANMAR R&D Europe, Florence 55100, ItalyDepartment of Information Engineering, University of Pisa, Pisa 56122, ItalyDepartment of Information Engineering, University of Pisa, Pisa 56122, ItalyThe paper presents a novel methodology for the control management of a swarm of autonomous vehicles. The vehicles, or agents, may have different skills, and be employed for different missions. The methodology is based on the definition of descriptor functions that model the capabilities of the single agent and each task or mission. The swarm motion is controlled by minimizing a suitable norm of the error between agents’ descriptor functions and other descriptor functions which models the entire mission. The validity of the proposed technique is tested via numerical simulation, using different task assignment scenarios.http://www.mdpi.com/2224-2708/3/1/26cooperative controlswarmsdistributed networksautonomous vehicles
spellingShingle Marta Niccolini
Lorenzo Pollini
Mario Innocenti
Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions
Journal of Sensor and Actuator Networks
cooperative control
swarms
distributed networks
autonomous vehicles
title Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions
title_full Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions
title_fullStr Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions
title_full_unstemmed Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions
title_short Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions
title_sort cooperative control for multiple autonomous vehicles using descriptor functions
topic cooperative control
swarms
distributed networks
autonomous vehicles
url http://www.mdpi.com/2224-2708/3/1/26
work_keys_str_mv AT martaniccolini cooperativecontrolformultipleautonomousvehiclesusingdescriptorfunctions
AT lorenzopollini cooperativecontrolformultipleautonomousvehiclesusingdescriptorfunctions
AT marioinnocenti cooperativecontrolformultipleautonomousvehiclesusingdescriptorfunctions