Author： Niccolini Marta Pollini Lorenzo Innocenti Mario
Publisher： MDPI
E-ISSN： 2224-2708|3|1|26-43
ISSN： 2224-2708
Source： Journal of Sensor and Actuator Networks, Vol.3, Iss.1, 2014-01, pp. : 26-43
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
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.
Related content
Reactive Planning of Autonomous Vehicles for Traffic Scenarios
Electronics, Vol. 4, Iss. 4, 2015-10 ,pp. :
Access to resources
Recommend
Introduction to the Special Issue on Intelligent and Cooperative Vehicles
Electronics, Vol. 4, Iss. 4, 2015-11 ,pp. :
Motion Planning of Autonomous Vehicles on a Dual Carriageway without Speed Lanes
Electronics, Vol. 4, Iss. 1, 2015-01 ,pp. :
Autonomous Vehicles Navigation with Visual Target Tracking: Technical Approaches
By Jia Zhen Balasuriya Arjuna Challa Subhash
Algorithms, Vol. 1, Iss. 2, 2008-12 ,pp. :