Flocking for Multiagent Systems with Partial Information Exchange Based on Inclusion Principle
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper investigates the flocking problem of multi-agents with partial information exchange, which means that only part, but not all, of the agents are informed of the group objective.
A distributed flocking model based on the inclusion principle is provided to simplify the design and analysis of multi-agent systems.
Furthermore, to reduce the communication energy consumption, an improved flocking algorithm based on the model is proposed to achieve stable flocking for all the agents.
The stability of the multi-agent system is then established, with the help of the Lyapunov stability theorem and LaSalle’s invariance principle.
Especially, considering the individual heterogeneity in both nature and engineering applications, we also investigate the flocking problem of multi-agents with different sensing radiuses and equilibrium distances.
Finally, two kinds of simulation results are presented to demonstrate the validity of the proposed results.
This work provides an insight not only into the properties of the different species of individual flocking, but also into the theoretical framework for the engineering design of multi-agent systems considering individual heterogeneity.
American Psychological Association (APA)
Wei, Hui& Chen, Xue-Bo. 2020. Flocking for Multiagent Systems with Partial Information Exchange Based on Inclusion Principle. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1196782
Modern Language Association (MLA)
Wei, Hui& Chen, Xue-Bo. Flocking for Multiagent Systems with Partial Information Exchange Based on Inclusion Principle. Mathematical Problems in Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1196782
American Medical Association (AMA)
Wei, Hui& Chen, Xue-Bo. Flocking for Multiagent Systems with Partial Information Exchange Based on Inclusion Principle. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1196782
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196782