Variable impulsive consensus of nonlinear multi-agent systems. (February 2019)
- Record Type:
- Journal Article
- Title:
- Variable impulsive consensus of nonlinear multi-agent systems. (February 2019)
- Main Title:
- Variable impulsive consensus of nonlinear multi-agent systems
- Authors:
- Ma, Tiedong
Zhang, Zhengle
Cui, Bing - Abstract:
- Abstract: In this paper, the consensus problem for nonlinear multi-agent systems with variable impulsive control method is studied. In order to decrease the communication wastage, a novel distributed impulsive protocol is designed to achieve consensus. Compared with the common impulsive consensus method with fixed impulsive instants, the variable impulsive consensus method proposed in this paper is more flexible and reliable in practical application. Based on Lyapunov stability theory and some inequality techniques, several novel impulsive consensus conditions are obtained to realize the consensus of multi-agent systems. Finally, some necessary simulations are performed to validate the effectiveness of theoretical results.
- Is Part Of:
- Nonlinear analysis. Volume 31(2019)
- Journal:
- Nonlinear analysis
- Issue:
- Volume 31(2019)
- Issue Display:
- Volume 31, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 31
- Issue:
- 2019
- Issue Sort Value:
- 2019-0031-2019-0000
- Page Start:
- 1
- Page End:
- 18
- Publication Date:
- 2019-02
- Subjects:
- Variable impulsive control -- Consensus -- Multi-agent systems -- Distributed control
Nonlinear functional analysis -- Periodicals
Analyse fonctionnelle non linéaire -- Périodiques
Nonlinear functional analysis
Periodicals
515.7248 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1751570X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.nahs.2018.07.004 ↗
- Languages:
- English
- ISSNs:
- 1751-570X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6117.315800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8850.xml