\documentclass[reqno]{amsart}

\AtBeginDocument{{\noindent\small
{\em Electronic Journal of Differential Equations},
Vol. 2004(2004), No. 29, pp. 1--16.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu  (login: ftp)}
\thanks{\copyright 2004 Texas State University-San Marcos.}
\vspace{9mm}}

\begin{document}

\title[\hfilneg EJDE-2004/29\hfil Periodic Solution and Global Exponential Stability]
{Periodic solution and global exponential stability for
 shunting inhibitory delayed cellular neural networks}


\author[A. Chen, J. Cao, \& L. Huang, \hfil EJDE--2004/29\hfilneg]
{Anping Chen, Jinde Cao, \& Lihong Huang}

\address{Anping Chen \hfill\break
Department of Mathematics, Xiangnan University, Chenzhou, Hunan
423000, China} \email{chenap@263.net}

\address{Jinde Cao\hfill\break
Department of Mathematics, Southeast University, Nanjing 210096,
China} \email{jdcao@seu.edu.cn; jdcao@cityu.edu.hk}

\address{Lihong Huang\hfill\break
College of Mathematics and Econometrics,  Hunan University,
 Hunan 410082, China} \email{lhhuang@hnu.edu.cn}


\date{}
\thanks{Submitted December 24, 2003. Published February 26, 2004.}
\subjclass[2000]{34K13,  34K20,  92B20}
\keywords{Periodic solutions, global exponential stability, Poincar\'e mapping,
\hfill\break\indent
shunting inhibitory delay cellular neural networks,  Lyapunov functionals}

\begin{abstract}
  For a class of neural system with time-varying
  perturbations in the time-delayed state, this article studies
  the periodic solution and global robust exponential stability.
  New criteria concerning the existence of the periodic solution
  and global robust exponential stability are obtained by employing
  Young's inequality, Lyapunov functional, and some analysis
  techniques. At the same time, the global exponential stability
  of the equilibrium point of the system is obtained.
  Previous results are improved and generalized. Our results are
  shown to be more effective than the existing results. In addition,
  these results can be used for designing globally stable and periodic
  oscillatory neural networks. Our results are easy to be checked and
  applied in practice.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{corollary}[theorem]{Corollary}

\date{}

\section{Introduction }

The dynamics of cellular neural networks(CNNs) and delayed
cellular neural networks(DCNNs) have been investigated in recent
years, due to their great potential in information processing
systems.  CNNs and DCNNs have been applied in solving problems
such as image and signal processing, vision, pattern recognition
and optimization. Many important results can be found in the
references for this article.

 It is known that the neural networks possess possibly three dynamic
 properties: convergence, oscillation and chaotic behavior. The
 first
 dynamic behavior has been widely studied,
  \cite{c1,c2,c8,c9,c10,c11,c12,c13,c14,c15,c16, c22, c25, c26, c30,c31,
  c32,c33,c34,c35,c36,c37,c38,c39,c40}.
 However, for the oscillator dynamic behavior, the study has stayed in a
 lower level. Only a few results have obtained in \cite{c7, c9,c10,c11,c12,
 c13,c14,c15}. As for
 the chaotic dynamic property, the research advances continue to be
 slow.

In this paper, we study a class of shunting inhibitory type DCNNs,
which was first proposed by  Bouzerdoum and Pinter \cite{c3}. It
has been applied to psychophysics, speech, perception, robotics,
adaptive pattern recognition, vision and image processing
\cite{c3,c4,c5,c6, c24,c25, c29,c30, c34}. So its dynamic behavior
research has an important significance for theory and
applications.

We consider a two-dimensional grid of processing cells. Let
$C_{ij}$ denote the cell at the $(i, j)$ position of the lattice, and let
$r$-neighborhood $N_r(i, j)$ of $C_{ij}$ be
 $$
N_r(i, j)=\{C_{kl}| \max {|k-i|, |l-j|}\le r, 1 \le k \le m; 1\le l \le n\}.
 $$
In SICNNs, neighboring cells exert mutual inhibitory
interaction of the shunting type. The dynamics of a cell $C_{ij}$
are described by the following nonlinear ordinary
differential equation \cite{c6},
$$
\frac{dx_{ij}}{dt} = -a_{ij}x_{ij}(t)-\sum_{C_{kl}\in
N_r(i, j)} c_{ij}^{kl}f(x_{kl}(t))x_{ij}+L_{ij}(t).
$$
In the system  above, $x_{ij}$ is the activity of the cell
$C_{ij}$, $L_{ij}$ is the external input to $C_{ij}$, the constant
$a_{ij}>0$ represents a passive delay rate of the cell activity,
$c_{ij}^{kl}\ge 0$ is the connection or coupling strength of
postsynaptic activity of the cell transmitted to the cell
$C_{ij}$, and the activation function $f(x_{kl})$ is a positive
continuous function, representing the output or firing rate of the
cell  $C_{kl}$. When  $L_{ij}$ is a constant, the power and
stability of the system have been researched in \cite{c3,c4,c5,c6,
c24,c25, c29,c30, c34}. In \cite{c13,c40}, we have studied the
existence and global stability of almost periodic solution for the
system above with delays. However, to best our knowledge, the
periodic solution and global exponential stability are seldom
discussed for the model. In this paper, we introduce the delays
into the system, and consider the periodic solution and
exponential stability of the SIDCNNs
\begin{equation}\label{e1}
\frac{dx_{ij}}{dt} = -a_{ij}x_{ij}(t)-\sum_{C_{kl}\in
N_r(i, j)} c_{ij}^{kl}f_{kl}(x_{kl}(t-\tau_{kl}))x_{ij}+L_{ij}(t),
\end{equation}
where $a_{ij}>0$, $c_{ij}^{kl}\ge 0$. Here $L_{ij}(t)$ is a continuous
periodic functions with period $\omega$; i.e.,
$L_{ij}(t+\omega)=L_{ij}(t), \forall t \in \mathbb{R}$.

We assume that the nonlinear system \eqref{e1} satisfies the initial
conditions
\begin{equation}\label{e2}
 x_{ij}(s)=\varphi_{ij}(s), \quad  s \in [- \tau,  0],
\end{equation}
where $ \tau=\max_{(i, j)}\{\tau_{ij}\}$,
$\varphi=(\varphi_{11},  \dots,  \varphi_{ij}, \dots,
\varphi_{mn} )^T  \in C([- \tau, 0], \mathbb{R}^{m \times n})$.
The solution of system \eqref{e1} through $(0, \varphi)$ is
denoted by
$$
x(t, \varphi)=(x_{11}(t, \varphi), \dots, x_{ij}(t, \varphi), \dots, x_{mn}(t,
\varphi) )^T .
$$
Define $x_t(\varphi)=x(t+\theta, \varphi)$, $\theta \in
[-\tau, 0]$, $t\ge 0 $. Then $x_t(\varphi)$ is in  $C=C([-\tau, 0],
\mathbb{R}^{m\times n})$ the Banach space of continuous
functions which map $[-\tau, 0]$ into $\mathbb{R}^{m\times n}$
with topology of uniformly converge. The norm is defined as
$$
\|x_t\|_{p}=\sup_{-\tau \le \theta \le 0}\Big( \sum_{(i, j
)}|x_{ij}(t+\theta)|^p\Big)^{1/p},
$$
in which $p \ge 1$.
When $p=+\infty$, the $\infty$-norm is
$$
\|x_t\|_{\infty}=\sup_{-\tau \le \theta \le 0}\max_{(i, j)}[|x_{t_{(i, j)}}
(t+\theta)|].
$$

We assume that the following conditions are satisfied:
\begin{itemize}
\item[(H1)] The functions $f_{ij}(x)$ $(i=1, 2, \dots, m; j=1, 2, \dots, n )$
are positive on $\mathbb{R}$.

\item[(H2)] There is a constant  $\mu_{ij}>0$ such that
$$|f_{ij}(x)-f_{ij}(y)|\le \mu_{ij} |x-y|,  \quad  \text{for any } x, y \in
\mathbb{R}.
$$
\end{itemize}
For convenience,  we set
\begin{gather*}
M_f=\max_{(i,j)}\sup_{x \in \mathbb{R}}\{f_{ij}(x)\}, \quad
p_{ij}=M_f\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}, \\
L_{ij}=\max_{t \in \mathbb{R}}|L_{ij}(t)|, \quad
q_{ij}=\begin{cases}
 |\varphi_{ij}(0)|,&   \text{if } |\varphi_{ij}(0)|\ge \frac{L_{ij}}{a_{ij}},\\
  \frac{L_{ij}}{a_{ij}}, & \text{if }  |\varphi_{ij}(0)|< \frac{L_{ij}}{a_{ij}}.
\end{cases}
\end{gather*}
When $a_{ij}\geq p_{ij}$, we define
$$
N_{ij}=\begin{cases}
\frac{a_{ij}q_{ij}}{a_{ij}-p_{ij}},  &\text{if } a_{ij}> p_{ij},\\
q_{ij}, & \text{if }  a_{ij}=p_{ij}.
\end{cases}
$$
The main results of this article are stated in the next theorems. To this
end introduce the following assumptions
\begin{itemize}
\item[(H3)] For $i=1, 2, \dots, m; j=1, 2, \dots, n$,
\begin{align*}
&-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
+(p-1)\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}\\
&+\sum_{(i, j )}(\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}\mu_{kl}N_{ij})<0\,.
\end{align*}
\end{itemize}

\begin{theorem} \label{thm1}
Assume that the hypotheses (H1--(H3) are satisfied.
 Then system \eqref{e1} has a unique $\omega$-periodic solution and all other
solution  converge globally exponentially to this solution in the $p$-norm as
$t \to +\infty$, where $p\geq 1$.
\end{theorem}

\begin{itemize}
\item[(H4)] For $i=1, 2, \dots, m; j=1, 2, \dots, n$,
$$
-a_{ij}+M_f\sum_{C_{kl}\in N_r(i, j)} c_{ij}^{kl}+\sum_{(i, j )}
\sum_{C_{kl}\in N_r(i, j)} c_{ij}^{kl}\mu_{kl}N_{ij}<0\,.
$$
\end{itemize}

\begin{corollary} \label{coro1}
Assume that the hypotheses (H1), (H2), (H4) are
satisfied. Then system \eqref{e1} has a unique $\omega$-periodic solution
and all other solutions  converge globally exponentially to this solution
in the 1-norm as $t \to +\infty$.
\end{corollary}

\begin{corollary} \label{coro2}
Assume that (H1)-(H3) are satisfied, and
$L_{ij}(t)=L_{ij}$ is constant. Then system \eqref{e1} has a
unique equilibrium $x^{\ast}$  and all other solution converge
globally exponentially to the equilibrium in the p-norm as $t \to
+\infty$.
\end{corollary}
\begin{itemize}
\item[(H5)] For $i=1, 2, \dots, m; j=1, 2, \dots, n$,
$$
-a_{ij}+M_f\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}+\sum_{C_{kl}\in N_r(i,
j)}c_{ij}^{kl}\mu_{kl}N_{ij}<0\,,
$$
\end{itemize}

\begin{theorem} \label{thm2}
Assume (H1), (H2), (H5) are satisfied. Then system \eqref{e1} has a unique
$\omega$-periodic solution and all other solution  converge
globally exponentially to this solution on the $\infty$-norm as $t \to
+\infty$.
\end{theorem}

\begin{corollary} \label{coro3}
Assume that (H1), (H2), (H5) are satisfied, and $L_{ij}(t)=L_{ij}$ is constant.
Then system \eqref{e1} has a unique equilibrium $x^{\ast}$  and all other
solution converge globally exponentially to  the equilibrium in
the $\infty$-norm as $t \to +\infty $.
\end{corollary}

The organization of this paper is as follows. In section 2, we
give some definitions and lemmas. In section 3, we state the
proofs of the Theorem \ref{thm1} and Theorem \ref{thm2}. In section 4, we  shall
show an example to illustrate our main results. In section 5, we
give some conclusion of the main results.

\section{Some definitions and lemmas}

In this section, we give some definitions and lemmas.
Let $C=C([-\tau, 0], \mathbb{R}^{m\times n})$ be the Banach space
of continuous functions which map $[-\tau, 0]$ into
$\mathbb{R}^{m\times n}$ with the topology of uniform converge. Let
$$
x^{\ast}(t)=(x_{11}^{\ast}(t),  \dots, x_{ij}^{\ast}(t), \dots,
x_{mn}^{\ast}(t) )^T
$$ is the periodic solution of system \eqref{e1} with
the initial conditions $\psi^{\ast}$ and $x(t)=(x_{11}(t), \dots,
x_{ij}(t), \dots, x_{mn}(t) )^T$
be the solution of system \eqref{e1} with the initial
conditions $\varphi$. We denote
\begin{gather*}
\|\varphi-\psi^{\ast}\|_p^p=\sup_{-\tau \leq \theta
\leq 0}\Big[\sum_{i=1}^n|\varphi_{ij}(\theta)-\psi_{ij}^{\ast}|^p\Big],
\quad p\geq 1.\\
\|\varphi-\psi^{\ast}\|_{\infty}=\sup_{-\tau \le \theta \le 0}
\max_{(i, j)}\Big[|\varphi_{(i, j)}(\theta)-\psi^{\ast}_{(i,
j)}(\theta)|\Big].
\end{gather*}
{\bf Definition.} %1
 The periodic solution $x^{\ast}(t)$ of system
\eqref{e1} is said to be globally exponentially stable in the
$p$-norm, if  there exists a  constant $\varepsilon>0$ and $k \ge
1$ such that for all $t>0$,
$$
\sum_{(i, j)}|x_{ij}(t)-x_{ij}^*(t)|^p\leq
  k \|\varphi-\psi^{\ast}\|_p^p e^{-\varepsilon t}\,.
$$
{\bf Definition.} %2
 The periodic solution $x^{\ast}(t)$ of system \eqref{e1} is said to be
 globally exponentially stable in $\infty$-norm, if  there
exists a constant $\varepsilon>0$ and $k \ge 1$ such that
for all $t>0$,
$$
\max_{(i, j)}|x_{ij}(t)-x_{ij}^*(t)|\leq
  k \|\varphi-\psi^{\ast}\|_{\infty} e^{-\varepsilon t},
$$
{\bf Definition.} %3
Let $F(t): \mathbb{R}\to \mathbb{R}$ be a
continuous function, then the upper right Dini derivate is defined as
$$
D^+F(t)=\limsup _{h \to 0^+}\frac{1}{h}(F(t+h)-F(t)).
$$


\begin{lemma}[{[13]}] \label{lm1}
Suppose that $f_{ij}$ is a positive continuous
function on $\mathbb{R}$, $L_{ij}(t)$ is a bounded continuous
function and $a_{ij}\geq p_{ij}$.
Then the solution $x_{ij}(t)$ of system \eqref{e1} is bounded on
$\mathbb{R}^+$, and $|x_{ij}(t)|\le N_{ij}$,
where
\begin{gather*}
p_{ij}=M_f\sum_{C_{kl}\in N_r(i, j)} c_{ij}^{kl},\\
N_{ij}=\begin{cases}
\frac{a_{ij}q_{ij}}{a_{ij}-p_{ij}}, &\text{if } a_{ij}> p_{ij},\\
q_{ij}, & \text{if } a_{ij}=p_{ij}.
\end{cases}\\
q_{ij}=\begin{cases}
  |\varphi_{ij}(0)|, &  \text{if } |\varphi_{ij}(0)|\ge \frac{L_{ij}}{a_{ij}},\\
  \frac{L_{ij}}{a_{ij}},  & \text{if } |\varphi_{ij}(0)|< \frac{L_{ij}}{a_{ij}}.
\end{cases}\\
M_f=\max_{(i, j)}\sup_{x \in \mathbb{R}}\{f_{ij}(x)\},\quad
L_{ij}=\sup_{t \in \mathbb{R}}\{|L_{ij}(t)|\}.
\end{gather*}
\end{lemma}

The proof of this lemma follows from a minor modification of the proof in
\cite[Lemma 2]{c13}.

\section{Proofs of the main results}

\subsection*{The proof of Theorem \ref{thm1}}
(1) Case $p>1$: For any $\varphi, \psi \in C $, let $x(t, \varphi)$ and $x(t, \psi)$
 represent the solution of system \eqref{e1} through $(0, \varphi)$ and
 $(0, \psi)$ respectively. It follows from system \eqref{e1} that
\begin{equation} \label{e3.1}
\begin{aligned}
\frac{d}{dt}\left(x_{ij}(t, \varphi)-x_{ij}(t, \psi)\right)
=& -a_{ij}(x_{ij}(t,\varphi)-x_{ij}(t, \psi))\\
&-\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}\big[f_{kl}(x_{kl}(t-\tau_{kl}, \varphi))x_{ij}(t,
\varphi)\\
&- f_{kl}(x_{kl}(t-\tau_{kl}, \psi))x_{ij}(t, \psi)\big],
\end{aligned}
\end{equation}
for all $t\geq 0, i=1, 2, \dots, m; j=1, 2, \dots, n$.
  From (H3), there exists a small $\varepsilon>0$ such that
\begin{align*}
\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}+(p-1)\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}\mu_{kl}N_{ij}&\\
+e^{\varepsilon \tau}\sum_{(i, j)}\sum_{C_{kl}\in
N_r(i, j)} c_{ij}^{kl}\mu_{kl}N_{ij}&<0\,.
\end{align*}
Now, we consider the Lyapunov functional
\begin{equation} \label{e3.2}
\begin{aligned}
V(t)=&V_1(t)+V_2(t)\\
    =&\sum_{(i, j)}|x_{ij}(t, \varphi)-x_{ij}(t, \psi)|^p e^{\varepsilon t}\\
    &+\sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}\int_{t-\tau_{kl}}^t\left|x_{kl}(s,
\varphi)-x_{kl}(s, \psi)\right|^pe^{\varepsilon(s+\tau_{kl})}ds,
\end{aligned}
\end{equation}
in which
\begin{gather*}
V_1(t)=\sum_{(i, j)}|x_{ij}(t, \varphi)-x_{ij}(t,\psi)|^pe^{\varepsilon t},\\
V_2(t)=\sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}
\int_{t-\tau_{kl}}^t\left|x_{kl}(s,
\varphi)-x_{kl}(s, \psi)\right|^pe^{\varepsilon(s+\tau_{kl})}ds.
\end{gather*}
Calculating the upper right derivative $D^+V_1$ of $V_1$ along the
solution of system \eqref{e3.1}, we have
\begin{align*}
&D^+V_1\big|_{(3.1)} \\
&\leq  \sum_{(i, j)}\big\{\varepsilon e^{\varepsilon t}|x_{ij}(t,
 \varphi)-x_{ij}(t, \psi)|^p+pe^{\varepsilon t}|x_{ij}(t, \varphi)-x_{ij}
 (t, \psi)|^{p-1}\\
 & \quad \times  D^+|x_{ij}(t, \varphi)-x_{ij}(t, \psi)|\big\}\\
&=  \sum_{(i, j)}\big\{\varepsilon e^{\varepsilon t}|x_{ij}(t,\varphi)-x_{ij}
(t, \psi)|^p+pe^{\varepsilon t}|x_{ij}(t,\varphi)-x_{ij}(t, \psi)|^{p-1}\\
 &\quad \times  \mathop{\rm sign}(x_{ij}(t, \varphi)-x_{ij}(t, \psi))
 \big[-a_{ij}(x_{ij}(t, \varphi)-x_{ij}(t, \psi)\\
&\quad -  \sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\big(f_{kl}(x_{kl}(t-\tau_{kl}, \varphi))x_{ij}(t, \varphi)-f_{kl}(x_{kl}
(t-\tau_{kl}, \psi))x_{ij}(t, \psi)\big)\big]\big\}\,;
\end{align*}
i.e.,
\begin{align*}
&D^+V_1\big|_{(3.1)}\\
&\leq   e^{\varepsilon t}\sum_{(i, j)}\big\{(\varepsilon-pa_{ij})|x_{ij}
(t, \varphi)-x_{ij}(t, \psi)|^p+p|x_{ij}(t,\varphi)-x_{ij}(t, \psi)|^{p-1}\\
& \quad\times \sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\big|\left[f_{kl}(x_{kl}(t-\tau_{kl},\varphi))-f_{kl}(x_{kl}(t-\tau_{kl}, \psi))
\right]x_{ij}(t,\varphi )\\
&\quad+  f_{kl}(x_{kl}(t-\tau_{kl},\psi))
\left(x_{ij}(t,\varphi)-x_{ij}(t,\psi)\right)\big|\big\}\\
&  \leq   e^{\varepsilon t}\sum_{(i,j)}(\varepsilon-pa_{ij})|x_{ij}
(t,\varphi)-x_{ij}(t, \psi)|^p+e^{\varepsilon t}\sum_{(i,j)}
\big\{p|x_{ij}(t,\varphi)-x_{ij}(t, \psi)|^{p-1}\\
& \quad\times  \sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\big[\mu_{kl}\left|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)||x_{ij}
(t, \varphi)\right| \\
&\quad + M_f|x_{ij}(t,\varphi)-x_{ij}(t, \psi)|\big]\big\}\\
&= e^{\varepsilon t}\sum_{(i,j)}
\Big(\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\Big)
\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p\\
&\quad + e^{\varepsilon t}\sum_{(i,j)}\Big\{p\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij}\left|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)\right|
\\
&\quad \times  |x_{ij}(t,\varphi)-x_{ij}(t, \psi)|^{p-1}\Big\}\,.
\end{align*}
Using the inequality $ab\leq \frac{1}{p}a^p+\frac{1}{q}b^q$,
($\frac{1}{p}+\frac{1}{q}=1$, $p>1, a, b\geq 0$) \cite{c37}. We
obtain
\begin{equation}
\begin{aligned}
 &D^+V_1(t)\big|_{(3.1)}\\
&  \leq  e^{\varepsilon t}\sum_{(i,j)}
\Big(\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\Big)
\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p\\
&\quad + e^{\varepsilon t}\sum_{(i,j)}
\big\{p\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}
\big[\frac{1}{p}|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)|^p\\
& \quad+ \frac{p-1}{p} |x_{ij}(t,\varphi)-x_{ij}(t, \psi)|^p\big]\big\}\\
& = e^{\varepsilon t}\sum_{(i,j)}
\big(\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\big)
\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p\\
&\quad+  e^{\varepsilon t}\sum_{(i,j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij}|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)|^p\\
&\quad+  e^{\varepsilon t}\sum_{(i,j)}(p-1)\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij}\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p\\
&=  e^{\varepsilon t}\sum_{(i,j)}\left(\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}+(p-1)\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}\right)\\
&\quad \times  |x_{ij}(t,\varphi)-x_{ij}(t, \psi)|^p\\
&\quad+  e^{\varepsilon t}\sum_{(i,j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij}\left|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)\right|^p .
\end{aligned}\label{e3.3}
\end{equation}
 Calculating the upper right Dini derivative $D^+V_2$ of $V_2$
along the solution of system \eqref{e3.1}, we have
\begin{equation}
\begin{aligned}
D^+V_2\big|_{(3.1)}
& = \sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}
\big[|x_{kl}(t,\varphi)-x_{kl}(t, \psi)|^pe^{\varepsilon (t+\tau_{kl})}\\
& \quad - \left|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)\right|^p
e^{\varepsilon t}\big]\\
& \leq  e^{\varepsilon t}e^{\varepsilon \tau}\sum_{(i,j)}\sum_{C_{kl}\in N_r(i,j)}
c_{ij}^{kl}\mu_{kl}N_{ij}\left|x_{kl}(t,\varphi)-x_{kl}(t, \psi)\right|^p\\
& \quad -  e^{\varepsilon t}\sum_{(i,j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij}\left|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)\right|^p .
\end{aligned} \label{e3.4}
\end{equation}
 From \eqref{e3.3} and \eqref{e3.4}, we can obtain
\begin{equation*}
\begin{aligned}
&D^+V|_{(3.1)}\\
&\leq D^+V_1|_{(3.1)}+D^+V_2|_{(3.1)}\\
&  \leq   e^{\varepsilon t}\sum_{(i,j)}
\Big(\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl} +(p-1)
\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}\Big)\\
& \quad\times \left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p
 +  e^{\varepsilon t}e^{\varepsilon \tau}\sum_{(i,j)}
 \sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}
 \left|x_{kl}(t,\varphi)-x_{kl}(t, \psi)\right|^p\\
& \leq  e^{\varepsilon t}\sum_{(i,j)}
 \big(\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}
 +(p-1)\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}\big)\\
& \times \left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p\\
& \quad + e^{\varepsilon t}\Big(e^{\varepsilon \tau}\sum_{(i,j)}
\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}\Big)
\sum_{(i,j)}\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p\\
&=  \sum_{(i,j)}\Big(\varepsilon-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}
+(p-1)\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}\\
&\quad + e^{\varepsilon \tau}\sum_{(i,j)}\sum_{C_{kl}\in
N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}\Big)
\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|^p\\
& <  0, \quad \text{for all } t \geq 0.
\end{aligned}
\end{equation*}
 i.e. $D^+V(t)\leq 0$, Thus, we have
\begin{equation}
V(t)\leq V(0), \quad  \text{for all } t \geq 0. \label{e3.5}
\end{equation}
where
\begin{align*}
V(t)& = \sum_{(i, j)}|x_{ij}(t, \varphi)-x_{ij}(t, \psi)|^pe^{\varepsilon t}\\
    & \quad + \sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}
    \int_{t-\tau_{kl}}^t\left|x_{kl}(s, \varphi)-x_{kl}(s, \psi)\right|^p
    e^{\varepsilon(s+\tau_{kl})}ds.
\end{align*}
Note that
\begin{equation}
V(t)\geq e^{\varepsilon t} \sum_{(i, j)}|x_{ij}(t,\varphi)-x_{ij}(t, \psi)|^p,
\quad \text{for all } t \geq 0 . \label{e3.6}
\end{equation}
Again,
\begin{equation}
\begin{aligned}
&V(0) \\
&= \sum_{(i, j)}|x_{ij}(0, \varphi)-x_{ij}(0,\psi)|^p\\
& \quad  + \sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}
\int_{-\tau_{kl}}^0 \left|x_{kl}(s, \varphi)-x_{kl}(s,\psi)\right|^p
e^{\varepsilon(s+\tau_{kl})}ds\\
& \leq  \| \varphi-\psi\|_p^p+\sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij}\int_{-\tau}^0 \left|x_{kl}(s, \varphi)-x_{kl}(s,\psi)\right|^p
e^{\varepsilon(s+\tau)}ds\\
& \leq  \| \varphi-\psi\|_p^p+\sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij}\int_{-\tau}^0 \sum_{(i, j)}\left|x_{ij}(s, \varphi)-x_{ij}(s,\psi)
\right|^pe^{\varepsilon(s+\tau)}ds\\
& \leq  \| \varphi-\psi\|_p^p+\tau e^{\varepsilon \tau}\sum_{(i, j)}
\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij}\| \varphi-\psi\|_p^p\\
&  = \left(1+\tau e^{\varepsilon \tau}\sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}\mu_{kl}N_{ij}\right)\|\varphi-\psi\|_p^p.
\end{aligned} \label{e3.7}
\end{equation}
Set
$$
k=1+\tau e^{\varepsilon \tau}\sum_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij},
$$
then $k>1$. Therefore, from \eqref{e3.5}--\eqref{e3.7}, we have
\begin{equation}
\sum_{(i, j)}|x_{ij}(t, \varphi)-x_{ij}(t, \psi )|^p\leq k e^{-\varepsilon
t}\|\varphi-\psi\|_p^p. \label{e3.8}
\end{equation}
In addition, from this inequality, we can easily obtain
\begin{equation}
\|x_t(\varphi)-x_t(\psi)\|_p\leq k^{\frac{1}{p}}
e^{-\frac{\varepsilon}{p}(t-\tau)}\|\varphi-\psi\|_p.
\label{e3.9}
\end{equation}
 Now, we can choose a positive integer $m$ such that
\begin{equation}
k^{\frac{1}{p}}e^{-\frac{\varepsilon}{p} (m\omega-\tau)}\leq \frac{1}{2}.
\label{e3.10}
\end{equation}
Define a Poincar\'e map
$$
P: C([-\tau, 0], \mathbb{R}^{m\times n})\to C([-\tau, 0], \mathbb{R}^{m\times n})
$$
by $P\varphi=x_{\omega}(\varphi)$, then we can derive from \eqref{e3.9}
and \eqref{e3.10} that
$$
\|P^m \varphi-P^m \psi\|_p\leq \frac{1}{2}\|\varphi-\psi\|_p.
$$
Therefore, $P^m$ is a contraction map. Then there exists a unique fixed
point $x^{\ast}\in C([-\tau, 0], \mathbb{R}^{m\times n})$ such
that $P^m x^{\ast}=x^{\ast} $.
Note that
$$P^m(Px^{\ast})=P(P^mx^{\ast})=Px^{\ast}.
$$
This implies $Px^{\ast}\in C([-\tau, 0], \mathbb{R}^{m\times n})$ is also
a fixed point of $P^m$. So,
$$
Px^{\ast}=x^{\ast},\quad \text{i.e.}\quad x_{\omega}(x^{\ast})=x^{\ast}.
$$
 Let $x(t, x^{\ast})$ be the
solution of system \eqref{e1} through $(0, x^{\ast})$, obviously,
$x(t+\omega, x^{\ast})$ is also a solution of system \eqref{e1}
and note that
$$
x_{t+\omega}(x^{\ast})=x_t(x_{\omega}(x^{\ast}))=x_t(x^{\ast}), \quad
 \text{for all } t \geq 0 .
$$
So,
$x(t+\omega, x^{\ast})=x(t, x^{\ast})$, for all $t\geq 0$.
This shows that $x(t, x^{\ast})$ is exactly one
$\omega$-periodic solution of system \eqref{e1} and  it is
easy to see from (3.8) that all solutions of system \eqref{e1}
converge globally exponentially to it on $p$-norm as $t\to +\infty$.
The proof of the case $p>1$ is completed. \medskip

\noindent (2) Case $p=1$:  From (H4), there exists a small
$\varepsilon>0$ such that
$$
\varepsilon-a_{ij}+M_f\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}+e^{\varepsilon \tau}\sum_{(i,j)}\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}\mu_{kl}N_{ij}<0.
$$
we consider the Lyapunov functional
\begin{align*}
V(t) &=\sum_{(i, j)}|x_{ij}(t, \varphi)-x_{ij}(t,\psi)|e^{\varepsilon t} \\
&+\sum_{(i, j)}\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}
\int_{t-\tau_{kl}}^t\left|x_{kl}(s,
\varphi)-x_{kl}(s, \psi)\right|e^{\varepsilon(s+\tau_{kl})}ds,
\end{align*}
by making a minor modification for the proof of the case $p>1$
above, we can obtain the proof.

\subsection*{Proof of the Theorem \ref{thm2}}
 For any $\varphi, \psi \in C $, let $x(t, \varphi)$ and $x(t, \psi)$
 represent the solutions of system \eqref{e1} through $(0, \varphi)$ and
 $(0, \psi)$ respectively.
Let $i_0j_0=i_0j_0(t)$ is the down index such that
$$
\max_{(i, j)}|x_{ij}(t,\varphi)-x_{ij}(t, \psi))|=|x_{i_0j_0}(t,
\varphi)-x_{i_0j_0}(t, \psi)|, %\eqno{(3.11)}
$$
  From (H5), there exists a small $\varepsilon>0$ such that
  $$
\varepsilon-a_{i_0j_0}+M_f\sum_{C_{kl}\in N_r(i, j)}
c_{i_0j_0}^{kl}+e^{\varepsilon \tau}\sum_{C_{kl}\in
N_r(i_0, j_0)} c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}<0.
  $$
Now, we construct the Lyapunov functional
\begin{equation}
\begin{aligned}
W(t)&=W_1(t)+W_2(t)\\
    &=|x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi)|e^{\varepsilon t}\\
    &\quad +\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}
    \int_{t-\tau_{kl}}^t\left|x_{kl}(s,
\varphi)-x_{kl}(s, \psi)\right|e^{\varepsilon(s+\tau_{kl})}ds,
\end{aligned} \label{e3.12}
\end{equation}
in which
$ W_1(t)=|x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi)|e^{\varepsilon t}$ and
$$
W_2(t)=\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}
    \int_{t-\tau_{kl}}^t\left|x_{kl}(s,
\varphi)-x_{kl}(s, \psi)\right|e^{\varepsilon(s+\tau_{kl})}ds.
$$
Calculating the upper right derivative $D^+W_1$ of $W_1$ along the
solution of system \eqref{e3.1}, we have
\begin{align*}
&D^+W_1\big|_{(3.1)}\\
& = e^{\varepsilon t}\mathop{\rm sign}(x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi))
  \frac{d}{dt}(x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi) \\
&\quad + \varepsilon e^{\varepsilon t}|x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi)|\\
&  = e^{\varepsilon t}\mathop{\rm sign}(x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi))
\big\{ -a_{i_0j_0}(x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi)) \\
&\quad - \sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}
\big[f_{kl}(x_{kl}(t-\tau_{kl}, \varphi))\varphi_{i_0j_0}(t, \varphi)\\
&\quad -f_{kl}(x_{kl}(t-\tau_{kl}, \psi))\psi_{i_0j_0}(t, \psi)\big]\big\}
+ \varepsilon e^{\varepsilon t}|x_{i_0j_0}(t, \varphi)-x_{i_0j_0}(t, \psi)|\,;
\end{align*}
i. e.,
\begin{equation}
\begin{aligned}
&D^+W_1\big|_{(3.1)}\\
& \leq   e^{\varepsilon t}\big\{(\varepsilon-a_{i_0j_0})|x_{i_0j_0}(t, \varphi)
-x_{i_0j_0}(t, \psi)|\\
& \quad +  \sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}
\big[\big|f_{kl}(x_{kl}(t-\tau_{kl},\varphi))-f_{kl}(x_{kl}(t-\tau_{kl}, \psi))
\big|\big|x_{i_0j_0}(t,\varphi )\big|\\
& \quad+  \big|f_{kl}(x_{kl}(t-\tau_{kl},\psi))\big|
\big|x_{i_0j_0}(t,\varphi)-x_{i_0j_0}(t,\psi)\big|\big]\big\}\\
& \leq   e^{\varepsilon t}\big\{(\varepsilon-a_{i_0j_0})
|x_{i_0j_0}(t,\varphi)-x_{i_0j_0}(t, \psi)|\\
&\quad + M_f\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}
\big|x_{i_0j_0}(t,\varphi)-x_{i_0j_0}(t, \psi)\big|\\
&\quad+ \sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}
\big|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)\big|\big\}\\
&= e^{\varepsilon t}\big(\varepsilon-a_{i_0j_0}
+M_f\sum_{C_{kl}\in N_r(i_0,j_0)}c_{i_0j_0}^{kl}\big)
\left|x_{i_0j_0}(t,\varphi)-x_{i_0j_0}(t, \psi)\right|\\
& \quad+ e^{\varepsilon t}\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}
\mu_{kl}N_{i_0j_0}\left|x_{kl}(t-\tau_{kl},\varphi)-x_{kl}(t-\tau_{kl},\psi)
\right|.\\
\end{aligned} \label{e3.13}
\end{equation}
Calculating the upper right derivative $D^+W_2$ of $W_2$ along the
solution of system \eqref{e3.1}, we have
\begin{equation}
\begin{aligned}
&D^+W_2\big|_{(3.1)}\\
&=  \sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}
e^{\varepsilon (t+\tau_{kl})}\left|x_{kl}(t,\varphi)-x_{kl}(t, \psi)\right|\\
&\quad - e^{\varepsilon t}\sum_{C_{kl}\in N_r(i_0,
j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}\left|x_{kl}(t-\tau_{kl},\varphi)
-x_{kl}(t-\tau_{kl},\psi)\right|.
\end{aligned} \label{e3.14}
\end{equation}
From \eqref{e3.13} and \eqref{e3.14}, we get
\begin{align*}
&D^+W|_{(3.1)}\\
& \leq   D^+W_1|_{(3.1)}+D^+W_2|_{(3.1)}\\
&  \leq  e^{\varepsilon t}\Big(\varepsilon-a_{i_0j_0}+M_f
\sum_{C_{kl}\in N_r(i_0,j_0)}c_{i_0j_0}^{kl}\Big)
\left|x_{i_0j_0}(t,\varphi)-x_{i_0j_0}(t, \psi)\right|\\
& \quad + e^{\varepsilon t}e^{\varepsilon \tau}
\sum_{C_{kl}\in N_r(i_0,j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}
\left|x_{kl}(t,\varphi)-x_{kl}(t, \psi)\right|\\
& \leq  e^{\varepsilon t}\sum_{(i,j)}
\Big(\varepsilon-a_{i_0j_0}+M_f\sum_{C_{kl}\in N_r(i,j)}c_{i_0j_0}^{kl}\Big)
\max_{(i, j)}\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|\\
&\quad  +   e^{\varepsilon t}e^{\varepsilon \tau}
\Big(\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}\Big)
\max_{(i, j)}\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|\\
&= e^{\varepsilon t}\Big(\varepsilon-a_{i_0j_0}+M_f
\sum_{C_{kl}\in N_r(i_0,j_0)}c_{i_0j_0}^{kl}+e^{\varepsilon \tau}
\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}\Big)\\
& \quad\times  \max_{(i, j)}\left|x_{ij}(t,\varphi)-x_{ij}(t, \psi)\right|\\
&< 0\,.
\end{align*}
Therefore, $D^+W(t)\leq 0$. Thus
$W(t)\leq W(0)$.
Note that
$$
W(t)\geq e^{\varepsilon t} |x_{i_0j_0}(t,\varphi)-x_{i_0j_0}(t, \psi)|
=e^{\varepsilon t}\max_{(i, j)}|x_{ij}(t,\varphi)-x_{ij}(t, \psi)|, \quad t \geq 0 .
$$
Again,
\begin{align*}
W(0)&  =|x_{i_0j_0}(0, \varphi)-x_{i_0j_0}(0,\psi)|\\
    &\quad +\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0}\int_{-\tau_{kl}}^0 \left|x_{kl}(s, \varphi)-x_{kl}(s,\psi)\right|e^{\varepsilon(s+\tau_{kl})}ds\\
    & \leq \| \varphi-\psi\|_{\infty}+\tau e^{\varepsilon \tau}\sum_{C_{kl}\in N_r(i_0, j_0)}c_{i_0j_0}^{kl}\mu_{kl}N_{i_0j_0} \|\varphi-\psi\|_{\infty}\\
    &  =   (1+\tau e^{\varepsilon \tau}\max_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}\mu_{kl}N_{ij})\| \varphi-\psi\|_{\infty}.\\
\end{align*}
Set
$$
k=1+\tau e^{\varepsilon \tau}\max_{(i, j)}\sum_{C_{kl}\in N_r(i, j)}c_{ij}^{kl}
\mu_{kl}N_{ij},
$$
then $k>1$. Thus, we have
\begin{equation}
\max_{(i, j)}|x_{ij}(t, \varphi)-x_{ij}(t, \psi )|\leq k e^{-\varepsilon
t}\|\varphi-\psi\|_{\infty}. \label{e3.15}
\end{equation}
This implies
\begin{equation}
\|x_t(\varphi)-x_t(\psi)\|_{\infty}\leq k e^{-\varepsilon
(t-\tau)}\|\varphi-\psi\|_{\infty}. \label{e3.16}
\end{equation}
 We can choose a positive integer $m $ such that
$ke^{-\varepsilon (m\omega-\tau)}\leq \frac{1}{2}$.
Now, define a Poincar\'e map
$$
P: C([-\tau, 0], \mathbb{R}^{m\times n})\to C([-\tau, 0], \mathbb{R}^{m\times n})
$$
by $P\varphi=x_{\omega}(\varphi)$, then we can derive from \eqref{e3.16}
that
$$
\|P^m \varphi-P^m \psi\|_{\infty}\leq \frac{1}{2}\|\varphi-\psi\|_{\infty}.
$$
So, $P^m$ is a contraction map. Hence, there exists a unique fixed
point $x^{\ast}\in C([-\tau, 0], \mathbb{R}^{m\times n})$ such
that $P^m x^{\ast}=x^{\ast}$.
Note that $$P^m(px^{\ast})=P(P^mx^{\ast})=Px^{\ast}.$$ This
implies that $Px^{\ast}\in C([-\tau, 0], \mathbb{R}^{m\times n})$
is also a fixed point of $P^m$. So,
$$
Px^{\ast}=x^{\ast}, \quad \text{i. e.}\quad
x_{\omega}(x^{\ast})=x^{\ast}.
$$
 Let $x(t, x^{\ast})$ be the
solution of system \eqref{e1} through $(0, x^{\ast})$, obviously,
$x(t+\omega, x^{\ast})$ is also a solution of system \eqref{e1}
and note that
$$
x_{t+\omega}(x^{\ast})=x_t(x_{\omega}(x^{\ast}))
=x_t(x^{\ast}), \quad \text{for all } t \geq 0 .
$$
Therefore,
$x(t+\omega, x^{\ast})=x(t, x^{\ast})$, for all $t\geq 0$.
This shows that $x(t, x^{\ast})$ is exactly one
$\omega$-periodic solution of system \eqref{e1} and from
\eqref{e3.15} it is easy to see that all solutions of system \eqref{e1}
converge exponentially to it on $\infty$-norm as $t\to +\infty$.
The proof is complete.

\section{An example}
For $i, j=1,2,3$, consider the system of SICNNs
\begin{equation}
\frac{dx_{ij}}{dt} = -x_{ij}(t)-\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}f_{kl}(x_{kl}(t-0.1))x_{ij}+\cos t  \label{e4.1}
\end{equation}
with the initial condition
$\varphi_{ij}(s)=\sin s, \quad s \in [0.1, 0]$.
Let $f_{kl}(x)=f(x)=0.1(|x+1|+|x-1|)$, then $f_{kj}$ satisfies
assumptions (H1) and (H2), and $\mu_{kl}=0.2$ ($k, l=1, 2, 3)$,
$M_f=0.2$,  $a_{ij}=1$, $L_{ij}=1$, $\varphi_{ij}(0)=0$, $q_{ij}=1$
($i,j=1, 2, 3$). Again we take
$$
C=(c_{ij})_{3\times 3}=
\begin{pmatrix}
c_{11}    &    c_{12}  &  c_{13}\\
c_{21}    &    c_{22}  &  c_{23}\\
c_{31}    &    c_{32}  &  c_{33}\\
\end{pmatrix}
= \begin{pmatrix}
0.1    &    0.05  &  0.1\\
0.05   &    0.1  &  0.05\\
0.1    &    0.05  &  0.1\\
\end{pmatrix}.
$$
Set $r=1$, then we have
$$
\begin{pmatrix}
\sum_{C_{kl}\in N_r(1, 1)}c_{11}^{kl}    &    \sum_{C_{kl}\in N_r(1, 2)}c_{12}^{kl}  &  \sum_{C_{kl}\in N_r(1, 3)}c_{13}^{kl}\\
\sum_{C_{kl}\in N_r(2, 1)}c_{21}^{kl}    &    \sum_{C_{kl}\in N_r(2, 2)}c_{22}^{kl}  &  \sum_{C_{kl}\in N_r(2, 3)}c_{23}^{kl}\\
\sum_{C_{kl}\in N_r(3, 1)}c_{31}^{kl}    &    \sum_{C_{kl}\in N_r(3, 2)}c_{32}^{kl}  &  \sum_{C_{kl}\in N_r(3, 3)}c_{33}^{kl}\\
\end{pmatrix}
= \begin{pmatrix}
0.3    &    0.45  &  0.3\\
0.45   &    0.7  &  0.45\\
0.3    &    0.45  &  0.3\\
\end{pmatrix}.
$$
and
$$
(p_{ij})_{3\times 3}=(M_f\sum_{C_{kl}\in
N_r(i,j)}c_{ij}^{kl})_{3\times 3}=
\begin{pmatrix}
0.06    &    0.09  &  0.06\\
0.09   &    0.14  &  0.09\\
0.06    &    0.09  &  0.06\\
\end{pmatrix}.
$$
Clearly $p_{ij}<a_{ij}$, for $i,j=1, 2, 3$.
\begin{gather*}
(N_{ij})_{3\times 3}=(\frac{a_{ij}q_{ij}}{a_{ij}-p_{ij}})_{3\times
3}=\begin{pmatrix}
\frac{100}{94}    &    \frac{100}{91}  &  \frac{100}{94}\\
\frac{100}{91}   &    \frac{100}{86}  &  \frac{100}{91}\\
\frac{100}{94}    &   \frac{100}{91}  & \frac{100}{94}\\
\end{pmatrix},\\
(\sum_{C_{kl}\in N_r(i, j)} c_{ij}^{kl}\mu_{kl}N_{ij})_{3\times 3}
=\begin{pmatrix}
\frac{6}{94}    &    \frac{9}{91}  &  \frac{6}{94}\\
\frac{9}{91}   &    \frac{14}{86}  &  \frac{9}{91}\\
\frac{6}{94}    &   \frac{9}{91}  & \frac{6}{94}\\
\end{pmatrix},\\
\sum_{(i, j )}\sum_{C_{kl}\in N_r(i, j)} c_{ij}^{kl}\mu_{kl}N_{ij}=0.8137142.
\end{gather*}
Taking $p=2$, we easily check that
\begin{align*}
&\Big(-pa_{ij}+pM_f\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}+(p-1)\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}\mu_{kl}N_{ij}\\
&+\sum_{(i, j
)}(\sum_{C_{kl}\in N_r(i,j)} c_{ij}^{kl}\mu_{kl}N_{ij})\Big)_{3\times 3}\\
&=\Big(0.8137142+0.4\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}+0.2\sum_{C_{kl}\in N_r(i, j)} c_{ij}^{kl}N_{ij}-2\Big)_{3\times 3}\\
&= \begin{pmatrix}
-1.002456 & -0.9073847 & -1.002456\\
-0.9073847 & -0.7434951 & -0.9073847 \\
-1.002456 & -0.9073847 & -1.002456\\
\end{pmatrix}<0.
\end{align*}
 Therefore, (H3) holds. Hence, then system \eqref{e4.1} has a unique
$2\pi$-periodic solution and all other solution  converge
globally exponentially to it on the 2-norm as $t \to +\infty$.
Again take $p=1$, we can easily check that
\begin{align*}
& \Big(-a_{ij}+M_f\sum_{C_{kl}\in N_r(i, j)} c_{ij}^{kl}+
\sum_{(i, j )}\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}\mu_{kl}N_{ij}\Big)_{3\times 3}\\
&=\Big(-0.1862858+0.2\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}\Big)_{3\times 3}\\
&=\begin{pmatrix}
-0.1262858 & -0.0962858 & -0.1262858\\
-0.0962858 & -0.0462858 & -0.0962858 \\
-0.1262858 & -0.0962858 & -0.1262858\\
\end{pmatrix} <0\,.
\end{align*}
Therefore, (H4) holds. By
Corollary \ref{coro1}, system \eqref{e4.1} has a unique $2\pi$-periodic
solution and all other solution converge globally exponentially to
it on the 1-norm as $t \to +\infty$.
We can easily check that
\begin{align*}
& \Big(-a_{ij}+M_f\sum_{C_{kl}\in N_r(i, j)}
c_{ij}^{kl}+\sum_{C_{kl}\in N_r(i,
j)}c_{ij}^{kl}\mu_{kl}N_{ij}\Big)_{3\times 3}\\
&=\begin{pmatrix}
-0.8761702 & -0.8110989 & -0.8761702\\
-0.8110989 & -0.6972093 & -0.8110989 \\
-0.8761702 & -0.8110989 & -0.8761702\\
\end{pmatrix} <0.
\end{align*}
Thus, (H5) is satisfied. By Theorem \ref{thm2},
system \eqref{e4.1} has a unique $2\pi$- solution and
all other solution converge globally exponentially to it on the
$\infty$-norm as $t$ approaches $+\infty$.

\subsection*{Conclusion}
In this paper, we have derived some simple sufficient conditions
in term of systems parameters for periodic solutions and global
exponential stability of SIDCNNs. The results possess
important significance in some applied fields,  and the conditions
are easily checked in practice. These play an important role in
design and application of SIDCNNS. In addition, the method of this
paper may be applied to some other systems such as the systems
given in \cite{c14, c19, c20, c22, c23}.


\subsection*{Acknowledgments}
 This work was supported by Natural Science Foundation of China under Grant
 60373067 and 10371034, the Foundation for University Excellent Teacher by Chinese
Ministry of Education, the Key Project of Chinese Ministry of
Education (No. [2002]78),  the Natural Science Foundation of
Jiangsu Province, China under Grant BK2003053 and BK2003001,
Qing-Lan Engineering Project of Jiangsu Province, the Foundation
of Southeast University, Nanjing, China under grant XJ030714, the
scientific research
 Foundation of Hunan provincial education department(03C009).

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