Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/122653
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Event triggered adaptive fuzzy consensus for interconnected switched multiagent systems
Author: Zheng, S.
Shi, P.
Wang, S.
Shi, Y.
Citation: IEEE Transactions on Fuzzy Systems, 2019; 27(1):144-158
Publisher: IEEE
Issue Date: 2019
ISSN: 1063-6706
Statement of
Responsibility: 
Shiqi Zheng, Peng Shi, Shuoyu Wang, and Yan Shi
Abstract: This paper concentrates on the problem of event triggered adaptive leader-following control for a class of multiagent systems. The considered systems contain completely unknown interconnections and arbitrary asynchronously switching. To handle these nonlinearties, a new hierarchical barrier Lyapunov method is proposed. Based on this method, a novel adaptive fuzzy control strategy is designed to make the output tracking errors of the multiagent systems converge to a small neighborhood of origin. Stability analysis shows that the proposed method can guarantee the compact set conditions of the fuzzy logic systems during the entire design process. Meanwhile, to reduce the computational burden, novel event triggered mechanisms are presented for both the transmission between two connected agents, and the communication between the sensor and the controller in one agent. An illustrative example is presented to verify the effectiveness of the proposed controller.
Keywords: Adaptive backstepping control; fuzzy logic systems; interconnected multiagent systems; switched systems
Rights: © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.
RMID: 0030099982
DOI: 10.1109/TFUZZ.2018.2873968
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.