Intelligent Controllers for Multirobot Competitive and Dynamic Tracking
Joint Authors
Li, Xiaodi
Yi, Chenfu
Liu, Mei
Jin, Long
Huang, Zhiguan
Li, Shuai
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper focuses on the problem of target tracking using k fittest robots in a group of n mobile robots with n>k.
We present centralized and distributed coordination models with all-to-all and limited communications, respectively.
For the case of all-to-all communication between robots, theoretical analysis is presented to prove the exponential stability of the whole system.
In real applications of robotic networks, a robot may only be allowed to exchange information with a limited number of neighbors.
In such a limited communication case where centralized quantity is not available, a consensus filter is used to estimate the centralized quantities in a distributed way, and a distributed competitive target tracking is thus achieved.
The stability of the distributed control is also proved in theory.
Finally, illustrative examples are provided and analyzed to substantiate the efficacy of the proposed models for tracking moving target in a competition manner with all-to-all communications and limited communications.
American Psychological Association (APA)
Liu, Mei& Li, Shuai& Li, Xiaodi& Jin, Long& Yi, Chenfu& Huang, Zhiguan. 2018. Intelligent Controllers for Multirobot Competitive and Dynamic Tracking. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1134191
Modern Language Association (MLA)
Liu, Mei…[et al.]. Intelligent Controllers for Multirobot Competitive and Dynamic Tracking. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1134191
American Medical Association (AMA)
Liu, Mei& Li, Shuai& Li, Xiaodi& Jin, Long& Yi, Chenfu& Huang, Zhiguan. Intelligent Controllers for Multirobot Competitive and Dynamic Tracking. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1134191
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134191