Song Zheng

Dr. Song Zheng

School of Data Sciences, Zhejiang University of Finance & Economics, Hangzhou 310018, China
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2020 in Neural Networks
Verified
Journal Article
Closed access
LCLiping Chen
Liping Chen
HYHao Yin
Hao Yin
THTingwen Huang
Tingwen Huang
LYLiguo Yuan
Liguo Yuan
Song ZhengSong Zheng
Song Zheng
LYLisheng Yin
Lisheng Yin

1 April 2009 in Physics Letters A
Verified
Journal Article
Closed access
Song ZhengSong Zheng
Song Zheng
QBQinsheng Bi
Qinsheng Bi
GCGuoliang Cai
Guoliang Cai

29 July 2016 in IEEE Transactions on Cybernetics
Verified
Journal Article
Closed access
YWYi Wang
Yi Wang
ZMZhongjun Ma
Zhongjun Ma
Song ZhengSong Zheng
Song Zheng
GCGuanrong Chen
Guanrong Chen
Lag consensus means that the corresponding state vectors of the followers are behind the leader with a lag time. In this paper, Lyapunov functional and matrix theory are applied to analyze pinning-controlled lag consensus of second-order nonlinear multiagent systems. The focus is twofold: 1) to find out which agents should be pinned and 2) to determine what the coupling strength should be, so that the multiagent systems can reach lag consensus. Moreover, the practical problem in a noisy environment is considered. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed pinning control protocol.

1 January 2012 in Communications in Nonlinear Science and Numerical Simulation
Verified
Journal Article
Closed access
Song ZhengSong Zheng
Song Zheng
SWShuguo Wang
Shuguo Wang
GDGaogao Dong
Gaogao Dong
QBQinsheng Bi
Qinsheng Bi

1 November 2009 in Physics Letters A
Verified
Journal Article
Closed access
Song ZhengSong Zheng
Song Zheng
GDGaogao Dong
Gaogao Dong
QBQinsheng Bi
Qinsheng Bi

26 January 2015 in Physical Review E
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Journal Article
Closed access
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Lin ZhengLin Zheng
Lin Zheng
Song ZhengSong Zheng
Song Zheng
QZQinglan Zhai
Qinglan Zhai
In this paper a lattice Boltzmann equation (LBE) method is designed that is different from the previous LBE for the Cahn-Hilliard equation (CHE). The starting point of the present CHE LBE model is from the kinetic theory and the work of Lee and Liu [T. Lee and L. Liu, J. Comput. Phys. 229, 8045 (2010)]; however, because the CHE does not conserve the mass locally, a modified equilibrium density distribution function is introduced to treat the diffusion term in the CHE. Numerical simulations including layered Poiseuille flow, static droplet, and Rayleigh-Taylor instability have been conducted to validate the model. The results show that the predictions of the present LBE agree well with the analytical solution and other numerical results.