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%% Authors: Please follow the format below to fill in: paper's short running title, full title, author's name
%%and affiliations, abstract, keywords, etc.
\title[Int. J. Innov. Comput. Inf. Control, Vol.18, No.1, 2022]
{Full Title of Your Paper}
\author[Y. Shi and J. Ruan]{}
\begin{document}
\maketitle
\centerline{\scshape Yan Shi$^1$ and Junhu Ruan$^{2,\ast}$}
\medskip
{\footnotesize
\centerline{$^1$School of Industrial and Welfare Engineering}
\centerline{Tokai University}
\centerline{9-1-1, Toroku, Kumamoto 862-8652, Japan}
\centerline{yshi@ktmail.tokai-u.jp} }
\medskip
{\footnotesize
\centerline{$^2$College of Economics and Management}
\centerline{Northwest A\&F University}
\centerline{No. 3, Taicheng Road, Yangling 712100, P. R. China}
\centerline{${^\ast}$Corresponding author: rjh@nwsuaf.edu.cn} }
\medskip
\centerline{Received March 2021; revised August 2021}
\medskip
\begin{abstract}
{\em Please write down the abstract of your paper here...}\\
{\bf Keywords:} Please write down the keywords of your paper here, such as, Control systems, Genetic algorithm, ...
\end{abstract}
\section{Introduction}
Please write down the Introduction of your paper here...
\section{Problem Statement and Preliminaries}
Please write down your section. When you cite some references,
please give numbers, such as, ...In the work of [1-3,5], the problem of...
For more results on this topic, we refer readers to [1,4,5] and the references therein...
\subsection{Several definitions and theorems}
Please write down your subsection.
Examples for writing definition, lemma, theorem, corollary, example, remark.
\begin{definition}
System (1) is stable if and only if...
\end{definition}
\begin{lemma}
If system (1) is stable, then...
\end{lemma}
\begin{theorem}
Consider system (1) with the control law...
\end{theorem}
{\bf Proof:} Let...
\begin{example}
Let us consider the following example...
\end{example}
\begin{eqnarray}
&&\dot x(t)=Ax(t)+Bu(t)+B_1w(t)\\
&&y(t)=Cx(t)+Du(t)+D_1w(t)
\end{eqnarray}
\section {Main Results}
Here are the main results in this paper...
\begin{definition}
System (3) is stable if and only if...
\end{definition}
\begin{table}[bp]
\caption{Sample data}
\label{table1}
\begin{center}
\begin{tabular}{|l|r|r|r|r|r|r|r|r|r|r|r|r|} \hline
& $x_1$ & $x_2$ & $x_3$ & $x_4$ & $x_5$ & $x_6$ & $x_7$ & $x_8$ & $x_9$ & $x_{10}$ & $x_{11}$ & $x_{12}$ \\ \hline
$M_1$ & 1 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\
$M_2$ & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 0 & 1 & 0 & 0 & 0 \\
$M_3$ & 0 & 1 & 0 & 1 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \\
$M_4$ & 1 & 0 & 0 & 0 & 2 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \\
$M_5$ & 0 & 0 & 0 & 1 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 \\
$M_6$ & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \\
$M_7$ & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 \\
$M_8$ & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 \\
$M_9$ & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 1 \\ \hline
\end{tabular}
\end{center}
\end{table}
\begin{lemma}
If system (3)-(4) is stable, then...
\end{lemma}
\begin{eqnarray}
&&\dot x(t)=Ax(t)+Bu(t)+B_2w(t)\\
&&y(t)=Cx(t)+Du(t)+D_2w(t)
\end{eqnarray}
\begin{theorem}
Consider system (3) with the control law...
\end{theorem}
{\bf Proof:} Let...
\begin{corollary}
If there is no uncertainty in system (3), i.e., $\Delta A=0$, then...
\end{corollary}
\begin{remark}
It should be noted that the result in Theorem 3.1...
\end{remark}
\begin{example}
Let us consider the following example...
\end{example}
.............................
\section{Control Design}
In this section, we present...
\begin{eqnarray}
&&\dot x(t)=Ax(t)+Bu(t)+B_1w(t)
\end{eqnarray}
\begin{definition}
System (5) is stable if and only if...
\end{definition}
\begin{figure}[htbp]
\begin{center}
\includegraphics[width=0.68\linewidth]{fig1.eps}
\caption{Example of figure}
\label{fig1}
\end{center}
\end{figure}
\begin{lemma}
If system (5) is stable, then...
\end{lemma}
\begin{theorem}
Consider system (5) with the control law...
\end{theorem}
{\bf Proof:} Let...
\begin{corollary}
If there is no uncertainty in system (5), i.e., $\Delta A=0$, then...
\end{corollary}
\begin{remark}
It should be noted that the result in Theorem 4.1...
\end{remark}
\begin{example}
Let us consider the following example...
\end{example}
.............................
\section{Numerical Example}
\section{Conclusions}
The conclusion of your paper is here...
\section*{Acknowledgment}
This work is partially supported by...
The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers,
which have improved the presentation.
%% Authors: please follow the format below to write down references.
\begin {thebibliography}{10}
\bibitem{mahmoudsbook}
M. Mahmoud and P. Shi, {\em Methodologies for Control of Jump Time-delay Systems},
Kluwer Academic Publishers, Boston, 2003.
\bibitem{shi1}
P. Shi, Limited Hamilton-Jacobi-Isaacs equations for singularly perturbed zero-sum dynamic (discrete time) games,
{\em SIAM J. Control and Optimization}, vol.41, no.3, pp.826-850, 2002.
\bibitem{nguangs}
S.~K. Nguang and P. Shi, Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements,
{\em Automatica}, vol.39, no.12, pp.2169-2174, 2003.
\bibitem{boukasls}
E.~K. Boukas, Z. Liu and P. Shi, Delay-dependent stability and output feedback stabilization of Markov jump
systems with time-delay, {\em IEE-Part D, Control Theory and Applications}, vol.149, no.5, pp.379-386, 2002.
\bibitem{shi2}
P. Shi, E.~K. Boukas and R.~K. Agarwal,
${H}_{\infty}$ control of discrete-time linear uncertain systems with delayed-state,
{\em Proc. of 37th IEEE Conf. on Decision \& Control}, Tampa, Florida, pp.4551-4552, 1998.
\end {thebibliography}
\vspace{0.4cm}
\noindent\textbf{Author Biography}\vspace{6pt}
\begin{center}
\begin{minipage}[t]{0.2\linewidth}
\vspace{-6pt}
\includegraphics[width=0.88\linewidth]{fig2.eps}
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\begin{minipage}[t]{0.8\linewidth}
\footnotesize\textbf{Yan Shi }received the BSc degree in applied mathematics from Northeast Heavy Machinery Institute (now Yanshan University), China, 1982; the MSc degree in applied mathematics from Dalian Maritime University, China, 1988; the PhD degree in information and computer sciences, from Osaka Electro-Communication University, Japan, 1997.\\
Prof. Shi is currently a full-time professor at the School of Industrial and Welfare Engineering, Tokai University, Japan. His research interests include approximate reasoning, fuzzy reasoning, fuzzy system modelling and applications, and neuro-fuzzy learning algorithms for system identification. He has published over 200 papers in journals and conferences. He has actively served in a number of journals.
\end{minipage}
\vspace{0.25cm}
\end{center}
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\vspace{-6pt}
\includegraphics[width=0.85\linewidth]{fig3.eps}
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\begin{minipage}[t]{0.8\linewidth}
\footnotesize\textbf{Junhu Ruan} obtained his PhD degree in management science and engineering from Dalian University of Technology, China in 2015; he visited the University of Adelaide, Australia for PhD joint training from November 2013 to November 2014; he worked at the Polytechnic University of Hongkong as the postdoctoral from February 2016 to February 2018.\\
Prof. Ruan is currently a full-time professor at the College of Economics and Management, Northwest A\&F University, China. His main research interests include the IoT-based agriculture, e-commerce, and logistics. He has published over 50 papers on well-known journals. He is hosting some research projects funded from National Natural Science Foundation of China, China Ministry of Education, etc.
\end{minipage}
\vspace{.35cm}
\end{center}
\end{document}