Zhenhua Wang

Dr. Zhenhua Wang

Mathematics, Alabama Agricultural and Mechanical University, Huntsville, Alabama, USA
orcid

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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3 December 2021 in ACS Nano
Verified
Journal Article
Closed access
JXJiaqiang Xiong
Jiaqiang Xiong
MWMeng Wu
Meng Wu
JCJilei Chen
Jilei Chen
YLYaofa Liu
Yaofa Liu
YCYurou Chen
Yurou Chen
WZWei Zhang
Wei Zhang

18 April 2018 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
WHWeixin Han
Weixin Han
HTHarry L. Trentelman
Harry L. Trentelman
Zhenhua WangZhenhua Wang
Zhenhua Wang
YSYi Shen
Yi Shen
This note investigates the distributed estimation problem for continuous-time linear time-invariant (LTI) systems observed by a network of observers. Our starting point is a given LTI system whose full state vector we want to estimate, based on the measured output of the system. We will call this the observed system. Each observer in the network has access to only part of the output of the observed system, and communicates with its neighbors according to a given network graph. In this note we recover the known result that if the observed system is observable and the network graph is a strongly connected digraph, then a distributed observer exists. Moreover, the estimation error can be made to converge to zero at any a priori given decay rate. Our approach leads to a relatively straightforward proof of this result, using the mirror of the balanced graph associated with the original network graph. The numerical design of our distributed observer is reduced to solving linear matrix inequalities (LMI's). Each observer in the network has state dimension equal to that of the observed plant.

1 June 2018 in Systems & Control Letters
Verified
Journal Article
Closed access
Zhenhua WangZhenhua Wang
Zhenhua Wang
CLCheng-Chew Lim
Cheng-Chew Lim
YSYi Shen
Yi Shen

18 February 2021 in Nano Letters
Verified
Journal Article
Closed access
HZHongwei Zhang
Hongwei Zhang
MZMeiqi Zhao
Meiqi Zhao
HLHaoran Liu
Haoran Liu
SSShuangrui Shi
Shuangrui Shi
ZWZhenhua Wang
Zhenhua Wang
WHWei Huang
Wei Huang

4 March 2019 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
WTWentao Tang
Wentao Tang
Zhenhua WangZhenhua Wang
Zhenhua Wang
YWYe Wang
Ye Wang
TRTarek Raissi
Tarek Raissi
YSYi Shen
Yi Shen
This paper investigates interval estimation methods for discrete-time linear time-invariant systems. We propose a novel interval estimation method by integrating robust observer design with reachability analysis. By introducing $H_\infty$ design into interval estimation, the proposed method is effective in improving the accuracy of interval estimation. Moreover, the comparisons and relationships between the existing methods and the proposed method are discussed in detail. Finally, simulation results are presented to demonstrate the effectiveness of the proposed method.

16 February 2018 in ACS Macro Letters
Verified
Journal Article
Open access
ZWZhenhua Wang
Zhenhua Wang
ZWZhanhua Wang
Zhanhua Wang
XPXiangcheng Pan
Xiangcheng Pan
LFLiye Fu
Liye Fu
SLSushil Lathwal
Sushil Lathwal
Krzysztof MatyjaszewskiKrzysztof Matyjaszewski
Krzysztof Matyjaszewski
A new procedure for ultrasonication-induced atom transfer radical polymerization (sono-ATRP) in aqueous media was developed. Polymerizations of oligo(ethylene oxide) methyl ether methacrylate (OEOMA) and 2-hydroxyethyl acrylate (HEA) in water were successfully carried out in the presence of ppm amounts of CuBr2 catalyst and tris(2-pyridylmethyl)amine ligand when exposed to ultrasonication (40 kHz, 110 W) at room temperature. Aqueous sono-ATRP enabled polymerization of water-soluble monomers with excellent control over the molecular weight, dispersity, and high retention of chain-end functionality. Temporal control over the polymer chain growth was demonstrated by switching the ultrasound on/off due to the regeneration of activators by hydroxyl radicals formed by ultrasonication. The synthesis of a well-defined block copolymer and DNA–polymer biohybrid was also successful using this process.