On Hybrid Adaptive and Pinning Consensus for Multiagent Networks
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The consensus problems for both continuous-time and discrete-time multiagent networks are deeply investigated by adopting hybrid adaptive and pinning control laws, respectively.
Particularly, the topology of the networks needs to neither be symmetric nor contain a directed spanning tree and some useful criteria are addressed analytically.
Simultaneously, a comprehensive pinning scheme is proposed as well which shows that the nodes with zero in-degree need to be pinned primarily in order to guarantee the system to achieve consensus, and then the nodes whose out-degrees are bigger than their in-degrees can give priority to be pinned compared to other nodes for improving the convergence rate of the system, whereas it is also interesting to find out that the regular rule does not always hold, that is, the more nodes are selected to be pinned, the faster the system will converge.
Finally, the validity of our theoretical findings is verified by several numerical examples.
American Psychological Association (APA)
Ji, Liang-hao& Tang, Yi& Liu, Qun. 2016. On Hybrid Adaptive and Pinning Consensus for Multiagent Networks. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112810
Modern Language Association (MLA)
Ji, Liang-hao…[et al.]. On Hybrid Adaptive and Pinning Consensus for Multiagent Networks. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112810
American Medical Association (AMA)
Ji, Liang-hao& Tang, Yi& Liu, Qun. On Hybrid Adaptive and Pinning Consensus for Multiagent Networks. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112810