Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control
Joint Authors
Li, Yongfu
Sun, Fenglan
Liao, Xiaogang
Liu, Feng
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Because of the complexity of the environment, the dynamics of agents in the same system may be different.
That is, the dynamics of some agents may be first ordered, and the others may be second ordered, even high ordered.
In addition, the network topologies of systems are always varying over time.
Because of these facts, this paper studies the consensus problem of the mixed-order multiagent networks over the jointly connected topologies.
By adopting the impulse control technique, some control protocols are proposed based on the information of the agents themselves and their neighbors.
Several simulation results are given to verify the correctness of the theoretical results.
American Psychological Association (APA)
Sun, Fenglan& Liao, Xiaogang& Li, Yongfu& Liu, Feng. 2019. Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control. Complexity،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1131272
Modern Language Association (MLA)
Sun, Fenglan…[et al.]. Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control. Complexity No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1131272
American Medical Association (AMA)
Sun, Fenglan& Liao, Xiaogang& Li, Yongfu& Liu, Feng. Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control. Complexity. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1131272
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131272