Inferring directed network topologies via tensor factorization

Author(s):  
Yanning Shen ◽  
Brian Baingana ◽  
Georgios B. Giannakis
2013 ◽  
Vol 46 (27) ◽  
pp. 342-347 ◽  
Author(s):  
Mehran Zareh Eshghdoust ◽  
Carla Seatzu ◽  
Mauro Franceschelli

2016 ◽  
Vol 90 (11) ◽  
pp. 2338-2348 ◽  
Author(s):  
Le Chang ◽  
Chenghui Zhang ◽  
Xianfu Zhang ◽  
Xiandong Chen

2017 ◽  
Vol 5 (4) ◽  
pp. 376-384 ◽  
Author(s):  
Meiling Zhu ◽  
Yong Xu ◽  
Rui Zhao

AbstractIn this paper, the consensus problem for heterogeneous multi-agent systems composed of first-order and second-order agents is investigated with directed network topologies. Based on a system transformation method, this consensus problem is turned into a consensus problem for homogeneous multi-agent systems. With certain assumption on the control parameters, firstly, necessary and sufficient condition for consensus is proposed with fixed topology. Secondly, sufficient condition is proposed for heterogeneous multi-agent systems to achieve consensus with switching topologies. Finally, simulation examples are presented to verify the effectiveness of the theoretical results.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Zhao-Jun Tang ◽  
Ting-Zhu Huang ◽  
Jin-Liang Shao

We consider consensus problems of first-order multiagent systems with sampled information and noisy measurements. A distributed stochastic approximation type algorithm is employed to attenuate the measurement noises. We provide conditions under which almost sure strong consensus is guaranteed for fixed and switching directed network topologies. Simulation results are provided to illustrate the theoretical results.


2013 ◽  
Vol 87 (3) ◽  
Author(s):  
David M. Walker ◽  
Antoinette Tordesillas ◽  
Tomomichi Nakamura ◽  
Toshihiro Tanizawa

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