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Control of Multiagent Systems: A Stochastic Pinning Viewpoint
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A stochastic pinning approach for multiagent systems is developed, which guarantees such systems being almost surely stable.
It is seen that the pinning is closely related to being a Bernoulli variable.
It has been proved for the first time that a series of systems can be stabilized by a Brownian noise perturbation in terms of a pinning scheme.
A new terminology named “stochastic pinning control” is introduced to describe the given pinning algorithm.
Additionally, two general cases that the expectation of the Bernoulli variable with bounded uncertainty or being unknown are studied.
Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed methods.
American Psychological Association (APA)
Wang, Guoliang. 2014. Control of Multiagent Systems: A Stochastic Pinning Viewpoint. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1015211
Modern Language Association (MLA)
Wang, Guoliang. Control of Multiagent Systems: A Stochastic Pinning Viewpoint. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1015211
American Medical Association (AMA)
Wang, Guoliang. Control of Multiagent Systems: A Stochastic Pinning Viewpoint. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1015211
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1015211