Haijun Jiang

Dr. Haijun Jiang

Xinjiang University, Ürümqi, Xinjiang, China
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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1 September 2015 in Neural Networks
Verified
Journal Article
Closed access
AAAbdujelil Abdurahman
Abdujelil Abdurahman
HJHaijun Jiang
Haijun Jiang
ZTZhidong Teng
Zhidong Teng

1 August 2018 in Neural Networks
Verified
Journal Article
Closed access
SYShuai Yang
Shuai Yang
JYJuan Yu
Juan Yu
CHCheng Hu
Cheng Hu
HJHaijun Jiang
Haijun Jiang

1 October 2019 in Neural Networks
Verified
Journal Article
Closed access
HLHong-Li Li
Hong-Li Li
CHCheng Hu
Cheng Hu
Jinde CaoJinde Cao
Jinde Cao
HJHaijun Jiang
Haijun Jiang
AAAhmed Alsaedi
Ahmed Alsaedi


1 October 2020 in Information Sciences
Verified
Journal Article
Closed access
JLJiarong Li
Jiarong Li
HJHaijun Jiang
Haijun Jiang
XMXuehui Mei
Xuehui Mei
CHCheng Hu
Cheng Hu
GZGuoliang Zhang
Guoliang Zhang

27 March 2017 in IEEE Transactions on Cybernetics
Verified
Journal Article
Closed access
ZYZhiyong Yu
Zhiyong Yu
HJHaijun Jiang
Haijun Jiang
CHCheng Hu
Cheng Hu
JYJuan Yu
Juan Yu
In this paper, the consensus of fractional-order multiagent systems (FOMASs) is considered via sampled-data control over directed communication topology with the order 0 <; α <; 1. Two cases are considered. One is FOMASs without leader, and the other is FOMASs with a leader. For each case, by applying matrix theory and algebraic graph theory, some algebraic-type necessary and sufficient conditions based on the sampling period, the fractional-order, the coupling gain, and the structure of the network are established for achieving consensus of the system. Moreover, for the network with a dynamic leader, the sampling period, the coupling gain, and the spectrum of the Laplacian matrix are carefully devised, respectively. Finally, several simulation examples are employed to validate the effectiveness of the theoretical results.