Yonghui Xia

Prof. Dr. Yonghui Xia

College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004, China
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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10 April 2018 in Studies in Applied Mathematics
Verified
Journal Article
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KKKit Ian Kou
Kit Ian Kou
YXYonghui Xia
Yonghui Xia

10 September 2018 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Verified
Journal Article
Closed access
JZJinsen Zhuang
Jinsen Zhuang
Jinde CaoJinde Cao
Jinde Cao
LTLongkun Tang
Longkun Tang
YXYonghui Xia
Yonghui Xia
Matjaz PercMatjaz Perc
Matjaz Perc
This paper is concerned with the synchronization of stochastic delayed multilayer networks with additive couplings. Multilayer networks are a kind of complex networks with different layers, which consist of different kinds of interactions or multiple subnetworks. Additive couplings are designed to capture the different layered connections. Based on additive couplings, several sufficient conditions are obtained to guarantee the synchronization of chaotic stochastic delayed coupled multilayer network. More specifically, on one hand, we obtain some sufficient conditions to guarantee that the stochastic multilayer network can be synchronized almost surely without control input. On the other hand, we propose three synchronization schemes by designing controllers. Scheme I: It is assumed that only a part of the nodes are allowed to be controlled directly. Scheme II: Control all nodes of the complex system by using only one controller. Scheme III: Pinning adaptive controller. Finally, an example and its simulations are given to show the effectiveness of our control schemes.

1 October 2019 in Communications in Nonlinear Science and Numerical Simulation
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Journal Article
Closed access
YZYanlin Zhang
Yanlin Zhang
JZJinshen Zhuang
Jinshen Zhuang
YXYonghui Xia
Yonghui Xia
YBYuzhen Bai
Yuzhen Bai
Jinde CaoJinde Cao
Jinde Cao
LGLongfei Gu
Longfei Gu

1 February 2019 in Journal of Mathematical Physics
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Journal Article
Open access
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KKKit Ian Kou
Kit Ian Kou
KLkai wan liu
kai wan liu
YXYonghui Xia
Yonghui Xia
The theory of two-dimensional linear quaternion-valued differential equations (QDEs) was recently established {see the work of Kou and Xia [Stud. Appl. Math. 141(1), 3–45 (2018)]}. They observed some profound differences between QDEs and ordinary differential equations. Also, an algorithm to evaluate the fundamental matrix by employing the eigenvalues and eigenvectors was presented in the work of Kou and Xia [Stud. Appl. Math. 141(1), 3–45 (2018)]. However, the fundamental matrix can be constructed providing that the eigenvalues are simple. If the linear system has multiple eigenvalues, how to construct the fundamental matrix? In particular, if the number of independent eigenvectors might be less than the dimension of the system, that is, the numbers of the eigenvectors are not enough to construct a fundamental matrix, how to find the “missing solutions”? The main purpose of this paper is to answer this question.

20 February 2007 in Chaos, Solitons & Fractals
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Journal Article
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YXYonghui Xia
Yonghui Xia
ZHZhenkun Huang
Zhenkun Huang
MHMaoan Han
Maoan Han

28 March 2019 in International Journal of Bifurcation and Chaos
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Journal Article
Closed access
WZWenjing Zhu
Wenjing Zhu
YXYonghui Xia
Yonghui Xia
BZBei Zhang
Bei Zhang
YBYuzhen Bai
Yuzhen Bai