Distributed Optimization of Multiagent Systems in Directed Networks with Time-Varying Delay
Joint Authors
Source
Journal of Control Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
This paper addresses a distributed consensus optimization problem of a first-order multiagent system with time-varying delay.
A continuous-time distributed optimization algorithm is proposed.
Different from most ways of solving distributed optimization problem, the Lyapunov-Razumikhin theorem is applied to the convergence analysis instead of the Lyapunov-Krasovskii functionals with LMI conditions.
A sufficient condition for the control parameters is obtained to make all the agents converge to the optimal solution of the system.
Finally, an example is given to validate the effectiveness of our theoretical result.
American Psychological Association (APA)
Yan, Junxiu& Yu, Hui. 2017. Distributed Optimization of Multiagent Systems in Directed Networks with Time-Varying Delay. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1173552
Modern Language Association (MLA)
Yan, Junxiu& Yu, Hui. Distributed Optimization of Multiagent Systems in Directed Networks with Time-Varying Delay. Journal of Control Science and Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1173552
American Medical Association (AMA)
Yan, Junxiu& Yu, Hui. Distributed Optimization of Multiagent Systems in Directed Networks with Time-Varying Delay. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1173552
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173552