Hongbing Zeng

Prof. Hongbing Zeng


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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19 February 2015 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
HZHongbing Zeng
Hongbing Zeng
YHYong He
Yong He
MWMin Wu
Min Wu
JSJinhua She
Jinhua She
The free-weighting matrix and integral-inequality methods are widely used to derive delay-dependent criteria for the stability analysis of time-varying-delay systems because they avoid both the use of a model transformation and the technique of bounding cross terms. This technical note presents a new integral inequality, called a free-matrix-based integral inequality, that further reduces the conservativeness in those methods. It includes well-known integral inequalities as special cases. Using it to investigate the stability of systems with time-varying delays yields less conservative delay-dependent stability criteria, which are given in terms of linear matrix inequalities. Two numerical examples demonstrate the effectiveness and superiority of the method.

1 August 2017 in Automatica
Verified
Journal Article
Closed access
HZHongbing Zeng
Hongbing Zeng
KTKok Lay Teo
Kok Lay Teo
YHYong He
Yong He

1 October 2015 in Automatica
Verified
Journal Article
Closed access
HZHongbing Zeng
Hongbing Zeng
YHYong He
Yong He
MWMin Wu
Min Wu
JSJinhua She
Jinhua She

1 June 2016 in Systems & Control Letters
Verified
Journal Article
Closed access
Chuan-Ke ZhangChuan-Ke Zhang
Chuan-Ke Zhang
YHYong He
Yong He
LJL. Jiang
L. Jiang
MWMin Wu
Min Wu
HZHongbing Zeng
Hongbing Zeng

1 August 2019 in Applied Mathematics and Computation
Verified
Journal Article
Closed access
HZHongbing Zeng
Hongbing Zeng
XLXiao-Gui Liu
Xiao-Gui Liu
WWWei Wang
Wei Wang

1 January 2019 in Applied Mathematical Modelling
Verified
Journal Article
Closed access
HZHongbing Zeng
Hongbing Zeng
KTKok Lay Teo
Kok Lay Teo
YHYong He
Yong He
WWWei Wang
Wei Wang