학술논문

Distributed Control of Multi-Agent Systems With Limited Communication Range in the Fixed Obstacle Environments
Document Type
Periodical
Source
IEEE Access Access, IEEE. 7:118259-118268 2019
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Robot sensing systems
Surveillance
Cost function
Mobile agents
Decentralized control
Prediction algorithms
Coverage control
distributed coordination
multi-agent networks
Language
ISSN
2169-3536
Abstract
This paper presents distributed algorithms for the coordination of a multi-agent network to minimize a prescribed cost function. The problem is studied for both cases of an environment without obstacles and an environment with fixed obstacles. The centric multiplicatively weighted Voronoi configuration is introduced, which is proved to be optimal for the former case. A distributed coverage control strategy is also proposed under which the agents’ configuration is guaranteed to converge to this optimal configuration. For the case, when the communication range of every agent is limited, the notions of limited communication MW-Voronoi diagram and limited communication visibility-aware MW-Voronoi diagram are introduced, and appropriate motion coordination strategies are provided for both the cases of an environment without obstacles and an environment with obstacles. The simulation results demonstrate that the efficacy of the proposed coordination techniques.