The Frontiers of Society, Science and Technology, 2019, 1(8); doi: 10.25236/FSST.2019.010804.
LI Xiao1, YANG Hong-yong2
1 Engineering Institute, City College of Jinan University, Penglai 265600 ,China
2 School of Information Science and Engineering, Ludong University, Yantai 264025, China
The optimization models of BA scale-free network and consistency of multi-agent system are studied. In the case of synchronization optimal network model, a delay robustness optimal BA scale-free network is built. By applying computer simulation, the convergence rates of consistency for multi-agent systems are analyzed. It is shown that the new BA scale-free models can improve the convergence rates and the delay robustness of the network. This research has a great guidance for building a optimization network of multi-agent systems.
BA scale-free network model; Multi-agent; Consistency; Synchronization optimization; Delay robustness
LI Xiao, YANG Hong-yong. Optimization Characteristics of BA Scale-Free Network and Consistency of Multi-Agent Systems. The Frontiers of Society, Science and Technology (2019) Vol. 1 Issue 8: 23-30. https://doi.org/10.25236/FSST.2019.010804.
 Moreau L (2004). Stability of continuous-time distributed consensus algorithms. Proc of CDC, no.4, pp.3998-4003.
 Olfati-Saber, R (2006). Flocking for multi-agent dynamic systems: algorithms and theory. IEEE Trans. Automatic Control, vol.51, no.3, pp.301-420.
 Ren W, Beard R W (2005). Consensus seeking in multi-agent systems under dynamically changing interaction topologies. IEEE Trans. on Automatic Control, vol.50, no.5, pp.655-660.