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. 2018 Sep 19;2018(1):245. doi: 10.1186/s13660-018-1837-1

Pseudo almost periodic solutions for quaternion-valued cellular neural networks with discrete and distributed delays

Xiaofang Meng 1, Yongkun Li 1,
PMCID: PMC6154083  PMID: 30839647

Abstract

This paper is concerned with a class of quaternion-valued cellular neural networks with discrete and distributed delays. By using the exponential dichotomy of linear systems and a fixed point theorem, sufficient conditions are derived for the existence and global exponential stability of pseudo almost periodic solutions of this class of neural networks. Finally, a numerical example is given to illustrate the feasibility of the obtained results.

Keywords: Quaternion-valued cellular neural networks, Distributed delay, Pseudo almost periodic solutions, Exponent stability

Introduction

Since Chua and Yang proposed cellular neural networks (CNNs) in 1988 [1], various dynamical behaviors of CNNs, such as the existence and stability of the equilibrium, periodic solutions, anti-periodic solutions, almost periodic solutions, and pseudo-almost periodic solutions, have been studied by many scholars [215].

On the one hand, quaternion-valued neural networks (QVNNs), as an extension of the complex-valued neural networks (CVNNs), can deal with multi-level information and require only half the connection weight parameters of CVNNs [16]. Moreover, compared with CVNNs, QVNNs perform more prominently when it comes to geometrical transformations, like 2D affine transformations or 3D affine transformations. 3D geometric affine transformations can be represented efficiently and compactly based on QVNNs, especially spatial rotation [17]. Since the multiplication of quaternion is not commutative due to Hamilton rules: ij=ji=k, jk=kj=i,ki=ik=j,i2=j2=k2=ijk=1, the analysis for QVCNNs becomes difficult. However, with the continuous development of the theory of quaternion, there are some results about the dynamics of QVNNs. For example, the authors of [18, 19] studied the existence and global exponential stability of equilibrium point for QVNNs; the authors of [20] investigated the robust stability of QVNNs with time delays and parameter uncertainties; the authors of [21] considered the existence and stability of pseudo almost periodic solutions for a class of QVCNNs on time scales by a special decomposition method; the authors of [22, 23] investigated the existence and global μ-stability of an equilibrium point for QVNNs; the authors of [24] dealt with the existence and stability of periodic solutions for QVCNNs by using a continuation theorem of coincidence degree theory; the authors of [25] studied the almost periodic synchronization for QVCNNs. Although non-autonomous neural networks are more general and practical than the autonomous ones, up to now, there have been only few results about the dynamic behaviors of non-autonomous QVNNs.

On the other hand, it is well known that the periodicity, almost periodicity, pseudo almost periodicity, and so on are the very important dynamics for non-autonomous systems [10, 12, 26]. Moreover, the almost periodicity is more general than the periodicity. In addition, the pseudo almost periodicity is a natural generalization of almost periodicity. In the past few years, the pseudo almost periodicity of real-valued neural networks (RVNNs) has been studied by many authors [1315, 2734]. Besides, as we all know, time delay is universal and can change the dynamical behavior of the system under consideration [3, 5, 29, 30, 35, 36]. Therefore, it is important and necessary to consider the neural network model with time delay. However, to the best of our knowledge, there is no paper published on the existence and stability of pseudo almost periodic solutions for quaternion-valued cellular neural networks (QVCNNs) with discrete and distributed delays.

Motivated by the above, in this paper, we are concerned with the following QVCNN with discrete and distributed delays:

xp(t)=cp(t)xp(t)+q=1napq(t)fq(xq(tτpq(t)))+q=1nbpq(t)0Kpq(u)gq(xq(tu))du+up(t), 1

where p{1,2,,n}:=Λ, xp(t)Q is the state vector of the pth unit at time t, cp(t)>0 represents the rate at which the pth unit will reset its potential to the resting state in isolation when disconnected from the network and external inputs, apq(t),bpq(t)Q are the synaptic weights of delayed feedback between the pth neuron and the qth neuron, fq,gq:QQ are the activation functions of signal transmission, τpq(t)0 denotes the transmission delay, up(t)Q denotes the external input on the pth neuron at time t.

Throughout this paper, we denote by BC(R,Rn), the set of all bounded continuous functions from R to Rn.

The initial value is given by

xp(s)=ϕp(s),s(,0],pΛ,

where ϕpBC((,0],Q).

Our main aim in this paper is to study the existence and global exponential stability of pseudo almost periodic solutions of (1). The main contributions of this paper are listed as follows.

  1. To the best of our knowledge, this is the first time to study the existence and stability of pseudo almost periodic solutions for QVCNNs with discrete and distributed delays.

  2. The stability of QVNNs with distributed delays has not been reported yet. Therefore, our result about the stability of QVNNs is new, and most of the existing results about the stability of QVNNs are obtained by using the theory of linear matrix inequalities but ours are not.

  3. The method that we use to transform QVNNs into RVNNs is different from that used in [18, 2023].

  4. QVCNN (1) contains RVCNNs and CVCNNs as its special cases.

Throughout this paper, Rn×n, Qn×n denote the set of all n×n real-valued and quaternion-valued matrices, respectively. The skew field of quaternion is denoted by

Q:={x=xR+ixI+jxJ+kxK},

where xR, xI, xJ, xK are real numbers and the elements i, j, and k obey Hamilton’s multiplication rules.

For the convenience, we will introduce the notations: h¯=suptR|h(t)|, h_=inftR|h(t)|, where h(t) is a bounded continuous function.

This paper is organized as follows. In Sect. 2, we introduce some definitions, make some preparations for later sections. In Sect. 3, by utilizing Banach’s fixed point theorem and differential inequality techniques, we establish the existence and global exponential stability of pseudo almost periodic solutions of (1). In Sect. 4, we give an example to demonstrate the feasibility of our results. This paper ends with a brief conclusion in Sect. 5.

Preliminaries

In this section, we shall first recall some fundamental definitions, lemmas which are used in what follows.

Definition 1

([37])

A function uBC(R,Rn) is said to be almost periodic if, for any ϵ>0, it is possible to find a real number l=l(ϵ)>0, for any interval with length l(ϵ), there exists a number τ=τ(ϵ) in this interval such that |u(t+τ)u(t)|<ϵ for all tR. The collection of such functions will be denoted by AP(R,Rn).

Let

PAP0(R,Rn)={fBC(R,Rn)|limr+12rrrf(t)dt=0}.

Definition 2

([38, 39])

A function fBC(R,Rn) is called pseudo almost periodic if it can be expressed as f=f1+f0, where f1AP(R,Rn) and f0PAP0(R,Rn). The collection of such functions will be denoted by PAP(R,Rn).

From the above definitions, it is easy to see that AP(R,Rn)PAP(R,Rn).

Definition 3

A quaternion-valued function x=xR+ixI+jxJ+kxKBC(R,Qn) is called a pseudo almost periodic function if, for every l{R,I,J,K}:=E, xlPAP(R,Rn).

Definition 4

([38, 39])

The system

x(t)=A(t)x(t) 2

is said to admit an exponential dichotomy if there exist a projection P and positive constants α,β such that the fundamental solution matrix X(t) satisfies

|X(t)PX1(s)|βeα(ts),ts,|X(t)(IP)X1(s)|βeα(st),ts.

Consider the following pseudo almost periodic system:

x(t)=A(t)x(t)+f(t), 3

where A(t) is an almost periodic matrix function, f(t) is a pseudo almost periodic vector function.

Lemma 1

([38, 39])

If the linear system (2) admits an exponential dichotomy, then system (3) has a unique pseudo almost periodic solution:

x(t)=tX(t)PX1(s)f(s)dst+X(t)(IP)X1(s)f(s)ds,

where X(t) is the fundamental solution matrix of (2).

Lemma 2

([38, 39])

Let cp(t) be an almost periodic function on R and

M[cp]=limT1Ttt+Tcp(s)ds>0,pΛ.

Then the linear system

x(t)=diag(c1(t),c2(t),,cn(t))x(t)

admits an exponential dichotomy on R.

In order to decompose the quaternion-valued system (1) into a real-valued system, we need the following assumption:

(S1)
Let xp=xpR+ixpI+jxpJ+kxpK, xplR,lE. Then the activation functions fq(xq) and gq(xq) of (1) can be expressed as
fq(xq)=fqR(xqR,xqI,xqJ,xqK)fq(xq)=+ifqI(xqR,xqI,xqJ,xqK)+jfqJ(xqR,xqI,xqJ,xqK)+kfqK(xqR,xqI,xqJ,xqK),gq(xq)=gqR(xqR,xqI,xqJ,xqK)+igqI(xqR,xqI,xqJ,xqK)+jgqJ(xqR,xqI,xqJ,xqK)fq(xq)=+kgqK(xqR,xqI,xqJ,xqK),
where fql,gql:R4R, pΛ,lE.

Under assumption (S1), system (1) can be decomposed into the following four real-valued sub-systems:

(xpR(t))=cp(t)xpR(t)+q=1n(apqR(t)fqR[t,x]apqI(t)fqI[t,x](xpR(t))=apqJ(t)fqJ[t,x]apqK(t)fqK[t,x])+q=1n(bpqR(t)0Kpq(u)(xpR(t))=×gqR[t,u,x]dubpqI(t)0Kpq(u)gqI[t,u,x]du(xpR(t))=bpqJ(t)0Kpq(u)gqJ[t,u,x]dubpqK(t)0Kpq(u)(xpR(t))=×gqK[t,u,x]du)+upR(t), 4
(xpI(t))=cp(t)xpI(t)+q=1n(apqR(t)fqI[t,x]+apqI(t)fqR[t,x](xpI(t))=+apqJ(t)fqK[t,x]apqK(t)fqJ[t,x])+q=1n(bpqR(t)0Kpq(u)(xpI(t))=×gqI[t,u,x]du+bpqI(t)0Kpq(u)gqR[t,u,x]du(xpI(t))=+bpqJ(t)0Kpq(u)gqK[t,u,x]dubpqK(t)0Kpq(u)(xpI(t))=×gqJ[t,u,x]du)+upI(t), 5
(xpJ(t))=cp(t)xpJ(t)+q=1n(apqR(t)fqJ[t,x]+apqJ(t)fqR[t,x](xpI(t))=apqI(t)fqK[t,x]+apqK(t)fqI[t,x])+q=1n(bpqR(t)0Kpq(u)(xpI(t))=×gqJ[t,u,x]du+bpqJ(t)0Kpq(u)gqR[t,u,x]du(xpI(t))=bpqI(t)0Kpq(u)gqK[t,u,x]du+bpqK(t)0Kpq(u)(xpI(t))=×gqI[t,u,x]du)+upJ(t), 6
(xpK(t))=cp(t)xpK(t)+q=1n(apqR(t)fqK[t,x]+apqK(t)fqR[t,x](xpI(t))=+apqI(t)fqJ[t,x]apqJ(t)fqI[t,x])+q=1n(bpqR(t)0Kpq(u)(xpI(t))=×gqK[t,u,x]du+bpqK(t)0Kpq(u)gqR[t,u,x]du(xpI(t))=+bpqI(t)0Kpq(u)gqJ[t,u,x]dubpqJ(t)0Kpq(u)(xpI(t))=×gqI[t,u,x]du)+upK(t), 7

where fql[t,x]fql(xqR(tτpq(t)),xqI(tτpq(t)),xqJ(tτpq(t)),xqK(tτpq(t))), gql[t,u,x]gql(xqR(tu),(xqI(tu)),(xqJ(tu)),(xqK(tu))), and

apq(t)=apqR(t)+iapqI(t)+japqJ(t)+kapqK(t),bpq(t)=bpqR(t)+ibpqI(t)+jbpqJ(t)+kbpqK(t),up(t)=upR(t)+iupI(t)+jupJ(t)+kupK(t).

According to (4)–(7), one can obtain that

Xp(t)=cp(t)Xp(t)+q=1nApq(t)Fq[t,x]+q=1nBpq(t)0Kpq(u)Gq[t,u,x]du+Up(t),pΛ, 8

where

Apq(t)=(apqR(t)apqI(t)apqJ(t)apqK(t)apqI(t)apqR(t)apqK(t)apqJ(t)apqJ(t)apqK(t)apqR(t)apqI(t)apqK(t)apqJ(t)apqI(t)apqR(t)),Bpq(t)=(bpqR(t)bpqI(t)bpqJ(t)bpqK(t)bpqI(t)bpqR(t)bpqK(t)bpqJ(t)bpqJ(t)bpqK(t)bpqR(t)bpqI(t)bpqK(t)bpqJ(t)bpqI(t)bpqR(t)),Xp(t)=(xpR(t)xpI(t)xpJ(t)xpK(t)),Up(t)=(upR(t)upI(t)upJ(t)upK(t)),Fq[t,x]=(fqR[t,x]fqI[t,x]fqJ[t,x]fqK[t,x]),Gq[t,u,x]=(gqR[t,u,x]gqI[t,u,x]gqJ[t,u,x]gqK[t,u,x]).

The initial condition associated with (8) is of the form

Xp(s)=Φp(s),pΛ,s(,0],

where

Φp(s)=(ϕpR(s),ϕpI(s),ϕpJ(s),ϕpK(s))T

and ϕpl(s)BC((,0],R),pΛ,lE.

Remark 1

Under assumption (S1), it is easy to see that if X=(x1R,x1I,x1J,x1K,,xnR,xnI,xnJ,xnK)TR4n is a solution of system (8), then x=(X1,X2,,Xn)T is a solution of system (1), and vice visa, where Xp=xpR+ixpI+jxpJ+kxpK,pΛ. Therefore, to find a solution for system (1) is equivalent to finding one for system (8). To study the stability of solutions of system (1), we only need to investigate the stability of solutions of system (8).

Main results

In this section, we establish the existence and global exponential stability of pseudo almost periodic solutions of system (8).

Let X={f(t)fPAP(R,R4n)} with the norm fX=suptRf(t), where f(t)=max1h4n{|fh(t)|}, then X is a Banach space.

In the following, we assume that the following conditions hold:

(S2)
There exist positive constants αql,βql such that
|fql(xqR,xqI,xqJ,xqK)fql(yqR,yqI,yqJ,yqK)|αqR|xqRyqR|+αqI|xqIyqI|+αqJ|xqJyqJ|+αqK|xqKyqK|,|gql(xqR,xqI,xqJ,xqK)gql(yqR,yqI,yqJ,yqK)|βqR|xqRyqR|+βqI|xqIyqI|+βqJ|xqJyqJ|+βqK|xqKyqK|
and fql(0,0,0,0)=gql(0,0,0,0)=0, where pΛ, lE.
(S3)

The function cpC(R,R+) with M[cp]>0 is almost periodic, UpC(R,R4×1), Apq,BpqC(R,R4×4), and τpqC(R,R+) are pseudo almost periodic, where p,qΛ.

(S4)

The delay kernel Kpq:[0,)R is continuous and integrable with 00|Kpq(u)|duK¯pq, where p,qΛ.

(S5)
There exists a constant κ such that
maxpΛ{maxlE{Θpκ+u¯plc_p}}κ,maxpΛ{Θpc_p}:=ρ<1,
where
Θp=Vp+Wp,pΛ,Vp=q=1n(a¯pqR+a¯pqI+a¯pqJ+a¯pqK)(αqR+αqI+αqJ+αqK),pΛ,Wp=q=1nK¯pq(b¯pqR+b¯pqI+b¯pqJ+b¯pqK)(βqR+βqI+βqJ+βqK),pΛ.

Theorem 1

Suppose that (S1)(S5) hold. Then system (8) has a unique pseudo almost periodic solution in the region X={φφX,φXκ}.

Proof

Let φ=(φ1R,φ1I,φ1J,φ1K,,φnR,φnI,φnJ,φnK)TX. Obviously, (S1) implies that Fq[t,φ] and Gq[t,u,φ] are uniformly continuous functions on R for qΛ. Set h(t,z)=φq(tz) (qΛ), where φq(tz)=(φqR(tz),φqI(tz),φqJ(tz),φqK(tz)). By Theorem 5.3 in [40] and Definition 5.7 in [40], we can obtain that hPAP(R×Ω) and h is continuous in zK and uniformly in tR for all compact subset K of ΩR. This, together with τpqPAP(R,R+) and Theorem 5.11 in [40], implies that

φq(tτpq(t))PAP(R,R4),p,qΛ.

Again from Corollary 5.4 in [40], we have

Fq[t,φ]PAP(R4,R4×1),qΛ,

which implies that

q=1nApq(t)Fq[t,φ]PAP(R,R4×1),p,qΛ.

By a similar argument as that in the proof of Lemma 2.3 in [13], one can obtain that

q=1nBpq(t)0Kpq(u)Gq(φq(tu))duPAP(R,R4×1),pΛ.

For any φX, consider the following linear system:

Xp(t)=cp(t)Xp(t)+q=1nApq(t)Fq[t,φ]+q=1nBpq(t)0Kpq(u)Gq[t,u,φ]du+Up(t),pΛ. 9

In view of Lemma 2, we can conclude that the linear system

Xp(t)=cp(t)Xp(t),pΛ 10

admits an exponential dichotomy. Furthermore, by Lemma 1, we obtain that system (9) has exactly one pseudo periodic almost solution:

Xφ=(X1φ,X2φ,,Xnφ),

where

Xpφ(t)=testcp(u)du(q=1nApq(s)Fq[s,φ]+q=1nBpq(s)0Kpq(u)Gq[s,u,φ]du+Up(s))ds,pΛ. 11

Define a mapping T:XX by setting (Tφ)(t)=Xφ(t), φX. Obviously, X is a closed convex subset of X.

Now, we prove that the mapping T is a self-mapping from X to X. In fact, for φX, we have

suptR|(Tφ)pR(t)|=suptR|testcp(u)du(q=1n(apqR(s)fqR[s,ϕ]apqI(s)fqI[s,ϕ]apqJ(s)fqJ[s,ϕ]apqK(s)fqK[s,ϕ])+q=1n(bpqR(s)0Kpq(u)g˜qRdubpqI(s)0Kpq(u)g˜qIdubpqJ(s)0Kpq(u)g˜qJdubpqK(s)0Kpq(u)g˜qKdu)+upR(s))ds|suptRtestcp(u)du(q=1n(a¯pqR+a¯pqI+a¯pqJ+a¯pqK)×(αqR|φqR(sτpq(s))|+αqI|φqI(sτpq(s))|+αqJ|φqJ(sτpq(s))|+αqK|φqK(sτpq(s))|)+q=1n(b¯pqR+b¯pqI+b¯pqJ+b¯pqK)×0|Kpq(u)|(βqR|φqR(su)|+βqI|φqI(su)|+βqJ|φqJ(su)|+βqK|φqK(su)|)du+u¯pR)dssuptRtestcp(u)du(q=1n(a¯pqR+a¯pqI+a¯pqJ+a¯pqK)(αqR+αqI+αqJ+αqK)φX+q=1nK¯pq(b¯pqR+b¯pqI+b¯pqJ+b¯pqK)(βqR+βqI+βqJ+βqK)φX+u¯pR)ds1c_p(Vpκ+Wpκ+u¯pR)=Θpκ+u¯pRc_p,pΛ. 12

In a similar way, we can obtain

suptR|(Tφ)p(t)|Θpκ+u¯plc_p,pΛ,l=I,J,K. 13

It follows from (12), (13), and (H4) that

TφXκ,

which implies that TφX. Therefore, the mapping T is a self-mapping from X to X. Next, we show that T:XX is a contraction mapping. In fact, for any φ,ψX, we have

suptR|(Tφ)pR(t)(Tψ)pR(t)|suptRtestcp(u)du(q=1n(a¯pqR+a¯pqI+a¯pqJ+a¯pqK)(αqR|φqR(sτpq(s))ψqR(sτpq(s))|+αqI|φqI(sτpq(s))ψqI(sτpq(s))|+αqJ|φqJ(sτpq(s))ψqJ(sτpq(s))|+αqK|φqK(sτpq(s))ψqK(sτpq(s))|)+q=1n(b¯pqR+b¯pqI+b¯pqJ+b¯pqK)0|Kpq(u)|×(βqR|φqR(su)ψqR(su)|+βqI|φqI(su)ψqI(su)|+βqJ|φqJ(su)ψqJ(su)|+βqK|φqK(su)ψqK(su)|)du)dssuptRtestcp(u)du(q=1n(a¯pqR+a¯pqI+a¯pqJ+a¯pqK)(αqR+αqI+αqJ+αqK)φψX+q=1nK¯pq(b¯pqR+b¯pqI+b¯pqJ+b¯pqK)(βqR+βqI+βqJ+βqK)φψX)ds1c_p(Vp+Wp)φψX=Θpc_pφψX. 14

In a similar way, we can obtain

suptR|(Tφ)pl(t)(Tψ)pl(t)|Θpc_pφψX,pΛ,l=I,J,K. 15

It follows from (14), (15), and (H4) that

T(φ)T(ψ)XρφψX.

Hence, T is a contraction mapping from X to X. Therefore, T has a unique fixed point in X, that is, (8) has a unique pseudo almost periodic solution in X. The proof is complete. □

By Remark 1, Theorem 1, we have the following.

Theorem 2

Suppose that (S1)(S5) hold, then system (1) has a unique pseudo almost periodic solution in X={φφX,φXκ}.

Definition 5

Let x=(x1R,x1I,x1J,x1K,,xnR,xnI,xnJ,xnK)T be a solution of (8) with the initial value φ=(φ1R,φ1I,φ1J,φ1K,,φnR,φnI,φnJ,φnK)TC((,0],R4n) and y=(y1R,y1I,y1J,y1K,,ynR,ynI,ynJ,ynK)T be an arbitrary solution of system (8) with the initial value ψ=(ψ1R,ψ1I,ψ1J,ψ1K,,ψnR,ψnI,ψnJ,ψnK)TC((,0],R4n). If there exist constants λ>0 and M>0 such that

x(t)y(t)Mφψeλt,t>0,

where

x(t)y(t)=maxpΛ{|xpl(t)ypl(t)|,lE},
φψ0=maxpΛ,lE{sups(,0]|φpl(s)ψpl(s)|}.

Then the solution x of system (8) is said to be globally exponentially stable.

Theorem 3

Under the assumptions of Theorem 1, system (8) has a unique pseudo almost periodic solution that is globally exponentially stable.

Proof

From Theorem 1, we see that system (8) has a pseudo almost periodic solution X=(X1,X2,,Xn)T with initial value Φ=(ϕ1,ϕ2,,ϕn)T. Suppose that X=(X1,X2,,Xn)T is an arbitrary solution of system (8) with initial value Φ=(ϕ1,ϕ2,,ϕn)T and let Z=XX, then we have

Zp(t)=cp(t)Zp(t)+q=1nApq(t)(Fq[t,z+x]Fq[t,x])+q=1nBpq(t)0Kpq(u)(Gq[t,u,z+x]Gq[t,u,x])du,pΛ. 16

The initial condition of (16) is

Zp(s)=ψp(s)=Φp(s)Φp(s),s(,0],pΛ.

For pΛ, we define Γp as follows:

Γp(θ)=θc_p+Vpeθτ¯pq+Wp,pΛ.

From (S5), we have

Γp(0)=c_p+Vp+Wp=c_p+Θp<0

and Γp(θ) is continuous on [0,+) and Γp(θ)+, as θ+. Hence, there exists ξp>0 such that Γp(ξp)=0 and Γp(θ)<0 for θ(0,ξp), pΛ. So, we can choose a positive constant 0<λ<min{minpΛξp,minpΛ{c_p}} such that

Γp(λ)<0,pΛ.

Let γp=Vpeλτ¯pq+Wp, pΛ. Then γp<c_pλ, pΛ. Take a constant M such that

M>c_pλγp>1,pΛ,

which yields

1Mγpc_pλ<0,pΛ.

Hence, for any ϵ>0, it is obvious that

Z(0)<(φ0+ϵ) 17

and

Z(t)<(φ0+ϵ)eλt<M(φ0+ϵ)eλt,t(,0]. 18

We claim that

Z(t)<M(φ0+ϵ)eλt,t>0. 19

Otherwise, there must exist some pΛ and η>0 such that

{|Zp(η)|=Z(η)=M(φ0+ϵ)eλη,Z(t)<M(φ0+ϵ)eλt,t<η. 20

Multiplying both sides of (16) by e0tcp(u)du and integrating over [0,t], we get

Zp(t)=Zp(0)e0tcp(u)du+0testcp(u)du(q=1nApq(s)(Fq[s,z+x]Fq[s,x])+q=1nBpq(s)0Kpq(u)(Gq[s,u,z+x]Gq[s,u,x])du)ds.

From this and (20), we get

|zpR(η)|=|zpR(0)e0ηcp(u)du+0ηesηcp(u)du(q=1n(apqR(s)fˆqR[s,xx]apqI(s)fˆqI[s,xx]apqJ(s)fˆqJ[s,xx]apqK(s)fˆqK[s,xx])+q=1n(bpqR(s)0Kpq(u)gˆqR[s,u,xx]bpqI(s)0Kpq(u)×gˆqI[s,u,xx]bpqJ(s)0Kpq(u)gˆqJ[s,u,xx]bpqK(s)0Kpq(u)gˆqK[s,u,xx])du)ds|(φ0+ϵ)e0ηcp(u)du+0ηesηcp(u)du(q=1n(a¯pqR+a¯pqI+a¯pqJ+a¯pqK)(αqR+αqI+αqJ+αqK)eλτ¯pq+q=1n(b¯pqR+b¯pqI+b¯pqJ+b¯pqK)(βqR+βqI+βqJ+βqK)0|Kpq(u)|eλseλudu)ds×M(φ0+ϵ)(φ0+ϵ)eληe0η(cp(u)λ)du+0ηesηcp(u)du(q=1n(a¯pqR+a¯pqI+a¯pqJ+a¯pqK)(αqR+αqI+αqJ+αqK)eλτ¯pq+q=1nK¯pq(b¯pqR+b¯pqI+b¯pqJ+b¯pqK)(βqR+βqI+βqJ+βqK))dsM(φ0+ϵ)eλη(φ0+ϵ)eληe0η(cp(u)λ)du+1e(λc_p)ηc_pλ(Vpeλτ¯pq+Wp)M(φ0+ϵ)eληM(φ0+ϵ)eλη[(1Mγpc_pλ)e(λc_p)η+γpc_pλ]<M(φ0+ϵ)eλη, 21

where fˆql[s,xx]fql[s,x]fql[s,x],gˆql[s,u,xx]gql[s,u,x]gql[s,u,x].

Similarly, we can get

|zpl(η)|<M(φ0+ϵ)eλη,l=I,J,K. 22

It follows from (21) and (22) that

|Zp(η)|<M(φ0+ϵ)eλη,

which contradicts the first equation of (20). Hence, (19) holds. Letting ϵ0+, from (19), we have

Z(t)Mφ0eλt,t>0.

Therefore, the pseudo almost periodic solution of system (8) is globally exponentially stable. The proof is complete. □

By Remark 1, Theorem 3, we have

Theorem 4

Suppose that (S1)(S5) hold, then system (1) has a unique pseudo almost periodic solution that is globally exponentially stable.

An example

In this section, we give an example to illustrate the feasibility and effectiveness of our results obtained in Sect. 3.

Example 1

Consider the following quaternion-valued system:

xp(t)=cp(t)xp(t)+q=12apq(t)fq(xq(tτpq(t)))+q=12bpq(t)0Kpq(u)gq(xq(tu))du+up(t), 23

where p=1,2, xp=xpR+ixpI+jxpJ+kxpKQ, and the coefficients are taken as follows:

c1(t)=4+cos(2t),c2(t)=5sint,Kpq(u)=|sinu|e4u,fq(xq)=14sin2(xqR+xqJ)+i|xqI+xqK|+j12sinxqJ+k12(|xqK+1|+|xqK|1),gq(xq)=tanxqR+i18sin2(xqR+xqI)+j|xqJ|+k14sin(2xqK),a11(t)=a12(t)=0.032cost+i0.03sin(2t)+j0.028sint+k0.045cost,a21(t)=a22(t)=0.04sin(2t)+i0.05sin(3t)+j0.036cos(2t)+k0.06sint,b11(t)=b12(t)=0.4sint+i0.2cos(2t)+j0.3sin(3t)+k0.25cost,b21(t)=b22(t)=0.5cos(3t)+i0.45sint+j0.35cost+k0.6sin(2t),τ11(t)=|sin(2t)|,τ12(t)=cos2t,τ21(t)=|sin(2t)|,τ22(t)=sin2t,u1(t)=u2(t)=cost+isin(2t)+jsin(2t)+kcos(2t).

By a simple calculation, we have

c_1=3,c_2=4,K¯pq=14,p,q=1,2,αqR=αqJ=12,αqI=αqK=βqR=βqJ=1,βqI=βqK=14,a¯11R=a¯12R=0.032,a¯11I=a¯12I=0.03,a¯11J=a¯12J=0.028,a¯11K=a¯12K=0.045,a¯21R=a¯22R=0.04,a¯21I=a¯22I=0.05,a¯21J=a¯22J=0.036,a¯21K=a¯22K=0.06,b¯11R=b¯12R=0.4,b¯11I=b¯12I=0.2,b¯11J=b¯12J=0.3,b¯11K=b¯12K=0.25,b¯21R=b¯22R=0.5,b¯21I=b¯22I=0.45,b¯21J=b¯22J=0.35,b¯21K=b¯22K=0.6,u¯1R=u¯1I=u¯1J=u¯1K=u¯2R=u¯2I=u¯2J=u¯2K=1,τ¯pq=1,p,q=1,2.

Take κ=2, then we have

max{2Θ1+u¯1Rc_1,2Θ1+u¯1Ic_1,2Θ1+u¯1Jc_1,2Θ1+u¯1Kc_1,2Θ2+u¯2Rc_2,2Θ2+u¯2Ic_2,2Θ2+u¯2Jc_2,2Θ2+u¯2Kc_2}{1.8327,1.9955}=1.9955κ=2

and

max{Θ1c_1,Θ2c_2}{0.7492,0.8728}=0.8728=ρ<1.

It is easy to check that all the assumptions in Theorem 4 are satisfied. Therefore, we obtain that (23) has a pseudo almost periodic solution that is globally exponentially stable (see Fig. 1).

Figure 1.

Figure 1

Transient states of four parts of QVNN (23) in Example 1

Remark 2

The results obtained in [1315, 21, 2734] cannot be applied to obtain that system (23) has a unique pseudo almost periodic solution that is globally exponentially stable.

Conclusion

In this paper, we have established the existence and global exponential stability of pseudo almost periodic solutions of QVCNNs with discrete and distributed delays. An example has been given to demonstrate the effectiveness of our results. This is the first time to study the pseudo almost periodic oscillation for QVCNNs with discrete and distributed delays. Furthermore, the method of this paper can be used to study other types of quaternion-valued neural networks.

Authors’ contributions

The authors have made the same contribution. All authors read and approved the final manuscript.

Funding

The first author was supported by the National Natural Science Foundation of China (No. 11861072 and No. 11361072) and the Science Research Fund of Education Department of Yunnan Province of China (No. 2017YJS111). The second author was supported by the National Natural Science Foundation of China (No. 11861072 and No. 11361072).

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Xiaofang Meng, Email: xfmeng@126.com.

Yongkun Li, Email: yklie@ynu.edu.cn.

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