Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks

Neural Networks

Volumn 66, Issue , 2015, Pages 1-10

  Li, Huaqing ^a,b   Liao, Xiaofeng ^a   Chen, Guo ^b   Hill, David J ^b,c   Dong, Zhaoyang ^b   Huang, Tingwen ^d  

^a SOUTHWEST UNIVERSITY   (China)

^b UNIVERSITY OF SYDNEY   (Australia)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

^d TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

Complex networks; Directed spanning tree; Distributed control; Event triggering; Strongly connected network; Synchronization

Indexed keywords

ALGEBRA; CONTROLLERS; DISTRIBUTED PARAMETER CONTROL SYSTEMS; PARALLEL ARCHITECTURES; SYNCHRONIZATION; TELECOMMUNICATION NETWORKS;

COMPLEX DYNAMICAL NETWORKS; DIRECTED SPANNING TREES; DISTRIBUTED CONTROL; EMBEDDED MICROPROCESSORS; EVENT-TRIGGERING; INTERMITTENT COMMUNICATIONS; STRONGLY CONNECTED; STRONGLY CONNECTED COMPONENT;

COMPLEX NETWORKS;

ALGEBRAIC GRAPH; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPLEX DYNAMICAL NETWORK; CONTROL STRATEGY; CONTROL SYSTEM; CONTROLLED STUDY; EVENT TRIGGERING SAMPLING CONTROL MECHANISM; INFORMATION PROCESSING; LYAPUNOV CONTROL METHOD; MATHEMATICAL MODEL; MATRIX THEORY; MEASUREMENT ERROR; NETWORK SYNCHRONIZATION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; SYSTEM ANALYSIS; ALGORITHM; NONLINEAR SYSTEM;

ALGORITHMS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS;

EID: 84924707772     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2015.01.006     Document Type: Article

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