Adaptive‐impulsive consensus of multiagent systems. (27th November 2017)
- Record Type:
- Journal Article
- Title:
- Adaptive‐impulsive consensus of multiagent systems. (27th November 2017)
- Main Title:
- Adaptive‐impulsive consensus of multiagent systems
- Authors:
- Ma, Tiedong
Li, Teng
Cui, Bing - Abstract:
- Summary: This paper studies the leader‐following consensus problem of multiagent nonlinear systems with uncertain parameters and control gain error. On the basis of the theory of impulsive differential equations, the adaptive control technique, and the Lyapunov stability theory, some novel adaptive‐impulsive consensus conditions are given to realize the consensus of a class of multiagent nonlinear systems. Compared with the existing investigations on the impulsive consensus of multiagent systems, the proposed impulsive control protocol with uncertain parameters and control gain error is more rigorous and effective in practical systems. Four numerical simulations are verified to confirm the effectiveness of the proposed methods.
- Is Part Of:
- International journal of robust and nonlinear control. Volume 28:Number 6(2018)
- Journal:
- International journal of robust and nonlinear control
- Issue:
- Volume 28:Number 6(2018)
- Issue Display:
- Volume 28, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 28
- Issue:
- 6
- Issue Sort Value:
- 2018-0028-0006-0000
- Page Start:
- 2031
- Page End:
- 2046
- Publication Date:
- 2017-11-27
- Subjects:
- adaptive control -- control gain error -- impulsive control -- multiagent systems -- uncertain parameters
Automatic control -- Periodicals
Control theory -- Periodicals
Nonlinear systems -- Periodicals
629.836 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/rnc.3998 ↗
- Languages:
- English
- ISSNs:
- 1049-8923
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.538900
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9058.xml