Bipartite synchronization in a network of nonlinear systems: A contraction approach-Reference-Cited by-同舟云学术

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Bipartite synchronization in a network of nonlinear systems: A contraction approach

Published:2016-11 Issue:17 Volume:353 Page:4602-4619
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zhai Shidong,Li Qingdu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing of China

Scientific Research Starting Foundation of Chongqing University of Posts and Telecommunications

Science Fund for Distinguished Young Scholars of Chongqing

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference32 articles.

1. Coordination of groups of mobile autonomous agents using nearest neighbour rules;Jadbabaie;IEEE Trans. Autom. Control,2003

2. Consensus problems in networks of agents with switching topology and time-delays;Olfati-Saber;IEEE Trans. Autom. Control,2004

3. Consensus of second-order multi-agent systems with nonlinear dynamics and switching topology;Zhai;Nonlinear Dyn.,2014

4. Consensus of multiagent systems and synchronization of complex networks;Li;IEEE Trans. Circuits Syst. I: Regular Papers,2010

5. Contraction analysis of synchronization of complex switched networks with different inner coupling matrices;Zhai;J. Frankl. Inst.,2013

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1. Bipartite consensus for multi-agent systems over signed networks: A novel dynamic event-triggered mechanism;Neurocomputing;2024-12

2. Bipartite consensus problems of Lurie multi-agent systems over signed graphs: A contraction approach;Chinese Physics B;2024-06-01

3. Slow and finite-time relaxations to m-bipartite consensus on the Stiefel manifold;Systems & Control Letters;2023-07

4. Bipartite synchronization of Lur’e network with signed graphs based on intermittent control;ISA Transactions;2023-04

5. Event-triggered bipartite consensus of second-order multi-agent systems under DoS attacks;Journal of the Franklin Institute;2023-01

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