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Synchronization of the Networked System With Continuous and Impulsive Hybrid Communications.

Authors :
Sun, Wen
Guan, Junxia
Lu, Jinhu
Zheng, Zhigang
Yu, Xinghuo
Chen, Shihua
Source :
IEEE Transactions on Neural Networks & Learning Systems. Mar2020, Vol. 31 Issue 3, p960-971. 12p.
Publication Year :
2020

Abstract

Many networked systems display some kind of dynamics behaving in a style with both continuous and impulsive communications. The cooperation behaviors of these networked systems with continuous connected or impulsive connected or both connected topologies of communications are important to understand. This paper is devoted to the synchronization of the networked system with continuous and impulsive hybrid communications, where each topology of communication mode is not connected in every moment. Two kind of structures, i.e., fixed structure and switching structures, are taken into consideration. A general concept of directed spanning tree (DST) is proposed to describe the connectivity of the networked system with hybrid communication modes. The suitable Lyapunov functions are constructed to analyze the synchronization stability. It is showed that for fixed topology having a jointly DST, the networked system with continuous and impulsive hybrid communication modes will achieve asymptotic synchronization if the feedback gain matrix and the average impulsive interval are properly selected. The results are then extended to the switching case where the graph has a frequently jointly DST. Some simple examples are then given to illustrate the derived synchronization criteria. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
31
Issue :
3
Database :
Academic Search Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
142127672
Full Text :
https://doi.org/10.1109/TNNLS.2019.2911926