
This paper deals with a class of quaternion-valued high-order Hopfield neural networks with time-varying delays and leakage delays on time scales. Based on the Banach fixed point theorem and the theory of calculus on time scales, some sufficient conditions are obtained for the existence and global exponential stability of pseudo almost periodic solutions for the considered networks. The results of this paper are completely new. Finally, an example is presented to illustrate the effectiveness of the obtained results.
Citation: Xiaofang Meng, Yongkun Li. Pseudo almost periodic solutions for quaternion-valued high-order Hopfield neural networks with time-varying delays and leakage delays on time scales[J]. AIMS Mathematics, 2021, 6(9): 10070-10091. doi: 10.3934/math.2021585
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This paper deals with a class of quaternion-valued high-order Hopfield neural networks with time-varying delays and leakage delays on time scales. Based on the Banach fixed point theorem and the theory of calculus on time scales, some sufficient conditions are obtained for the existence and global exponential stability of pseudo almost periodic solutions for the considered networks. The results of this paper are completely new. Finally, an example is presented to illustrate the effectiveness of the obtained results.
Because high-order Hopfield neural networks have more extensive applications than Hopfield neural networks, various dynamical behaviours of high-order Hopfield neural networks such as the existence and stability of equilibrium points [1,2], anti-periodic solutions [3], almost periodic solutions [4,5,6] and pseudo almost periodic solutions [7] have been studied by many scholars.
On the one hand, due to the limited switching speed of neurons and amplifiers, time delays are inevitably introduced into neural network models [8,9,10,11,12]. Among all kinds of time delays, the leakage delay, that is, the time delay in the leakage term, has been proved to have a great influence on the dynamics of the system. Therefore, it is significant to consider neural networks with time delays in leakage terms [13,14,15,16].
On the other hand, both continuous-time and discrete-time neural networks have equally importance in various applications. Therefore, it is necessary to consider both continuous time neural networks and discrete time neural networks. Fortunately, the theory of time scale calculus [17] can unify the study of continuous analysis and discrete analysis, so the study of neural network models on time scale can unify the study of continuous-time and discrete-time neural networks [18,19,20,21].
In addition, quaternion-valued neural networks, as an extension of real-valued neural networks and complex-valued neural networks, have been extensively applied in many fields such as robotics, satellite attitude control, computer graphics, ensemble control and so on [22,23,24]. Currently, the study quaternion-valued neural networks have received much attention of many scholars.
Moreover, although non-autonomous neural networks are more general and practical than autonomous neural networks, so far, there are still few results about the dynamic behavior of non-autonomous quaternion-valued neural networks [25,26,27,28,29]. It is well known that periodicity, almost periodicity and pseudo almost periodicity are very important dynamic behaviors of non-autonomous systems. Besides, almost periodicity is more reasonable than periodicity. Also, pseudo almost periodicity is more complex than almost periodicity [30,31]. Therefore, for non-autonomous neural networks, pseudo almost periodic oscillation is a very important dynamics [32,33,34,35,36,37].
However, up to now, there has been no paper published on the pseudo almost periodic oscillation of quaternion-valued high-order Hopfield neural networks. Besides, the pseudo almost periodic oscillation of quaternion-valued neural networks with quaternion leakage coefficients on time scales has not been reported. Consequently, it is necessary to study the pseudo almost periodic solutions of quaternion-valued high-order Hopfield neural networks on time scales whose leakage coefficients are also quaternions.
Motivated by the above statement, in this paper, we consider the following quaternion-valued high-order Hopfield neural network with time-varying delays and leakage delays on time scales:
xΔp(t)=−ap(t)xp(t−ηp(t))+n∑q=1bpq(t)fq(xq(t))+n∑q=1cpq(t)gq(xq(t−τpq(t)))+n∑q=1n∑l=1Tpql(t)hq(xq(t−δpql(t)))hl(xl(t−ϑpql(t)))+up(t),t≥t0,t∈T, | (1.1) |
where p∈{1,2,…,n}=:S, n is the number of neurons in layers; xp(t) denotes the activation of the pth neuron at time t; ap(t)∈Q represents the rate with the pth unit will reset its potential to the resting state in isolation when disconnected from the network and external inputs at time t; bpq(t),cpq(t)∈Q are the delay connection weights from neuron q to neuron p at time t, respectively; Tpql(t)∈Q denotes the second-order connection weights of the neural network; fq,gq,hq:Q→Q are the activation functions of signal transmission; up(t)∈Q is the external input on the pth unit at time t; ηp denotes the leakage delay at time t and satisfies t−ηp(t)∈T; τpq, δpql and ϑpql are transmission delays at time t and satisfy t−τpq(t)∈T, t−δpql(t)∈T and t−ϑpql(t)∈T for t∈T.
The skew field of quaternions is denoted by
Q:={q=qR+iqI+jqJ+kqK}, |
where qR, qI, qJ, qK are real numbers, the three imaginary units i, j and k obey the Hamilton's multiplication rules:
ij=−ji=k,jk=−kj=i,ki=−ik=j,i2=j2=k2=ijk=−1. |
Throughout this paper, for x=xR+ixI+jxJ+kxK∈Q, we denote ˆx=xR−x, ‖x‖Q=max{|xR|,|xI|,|xJ|,|xK|}, and for x=(x1,x2,…,xn)T∈Qn, we denote ‖x‖Qn=maxp∈S{‖xp‖Q}. Also, for convenience, we introduce the following notation:
a−p=inft∈T{aRp(t)},a+p=supt∈T{aRp(t)},ˆa+p=supt∈T‖ˆap(t)‖Q, |
b+pq=supt∈T‖bpq(t)‖Q,c+pq=supt∈T‖cpq(t)‖Q,T+pql=supt∈T‖Tpql(t)‖Q, |
η+=maxp∈S{supt∈Tηp(t)},τ+=maxp,q∈S{supt∈Tτpq(t)},δ+=maxp,q,l∈S{supt∈Tδpql(t)}, |
ϑ+=maxp,q,l∈S{supt∈Tϑpql(t)},θ=max{η+,τ+,δ+,ϑ+}. |
The initial condition of system (1.1) is of the form
xp(s)=ϕp(s),xΔp(s)=ψp(s),s∈[t0−θ,t0]T, |
where ϕp,ψΔp∈C([t0−θ,t0]T,Q), p∈S.
Our main aim of this paper is to study the existence and stability of pseudo almost periodic solutions of (1.1). The main contributions of this paper are listed as follows. Firstly, this is the first time to consider quaternion-valued neural networks on time scales with all the coefficients are quaternions except time delays. Secondly, this is the first paper to study the pseudo almost periodic solutions for quaternion-valued high-order Hopfield neural networks with time-varying delays and leakage delays on time scales. Finally, our method of this paper can be used to study pseudo almost periodic solutions for other types of quaternion-valued neural networks on time scales.
This paper is organized as follows: In Section 2, we introduce some definitions, preliminary lemmas. In Section 3, we establish some sufficient conditions for the existence and global exponential stability of pseodo almost periodic solutions of system (1.1). In Section 4, we give an example to demonstrate the feasibility of our results. This paper ends with a brief conclusion in Section 5.
Definition 2.1. [38,39] A time scale T is an arbitrary nonempty closed subset of the real set R with the topology and ordering inherited from R. The forward and backward jump operators σ,ρ:T→T, and the forward graininess μ:T→[0,∞) are defined, respectively, by
σ(t)=inf{s∈T,s>t},ρ(t)=sup{s∈T,s<t},μ(t)=σ(t)−t. |
The point t∈T is called left-dense, left-scattered, right-dense or right-scattered if ρ(t)=t, ρ(t)<t,σ(t)=t or σ(t)>t, respectively. Points that are right-dense and left-dense at the same time are called dense. If T has a left-scattered maximum m, define Tκ=T−{m}; otherwise, set Tκ=T. If T has a right-scattered maximum m, define Tκ=T−{m}; otherwise, set Tκ=T.
Definition 2.2. [38,39] Assume that f:T→R is a function and let t∈Tk. Then we define fΔ(t) to be the number (provided it exists) with the property that given any ε>0, there is a neighborhood U of t (i.e, U=(t−δ,t+δ)∩T for some δ>0) such that
|f(σ(t))−f(s)−fΔ(t)(σ(t)−s)|≤ε|σ(t)−s| |
for all s∈U. We call fΔ(t) the delta (or Hilger) derivative of f at t. Moreover, we say that f is delta (or Hilger) differentiable (or in short: differentiable) on Tk provided fΔ(t) exists for all t∈Tk. The function fΔ:Tk→R is then called the (delta) derivative of f on Tk.
The derivative of function f(t)=fR(t)+ifI(t)+jfJ(t)+kfK(t):T→Q is given by
fΔ(t)=(fR)Δ(t)+i(fI)Δ(t)+j(fJ)Δ(t)+k(fK)Δ(t), |
where fR,fI,fJ,fK:T→R.
Definition 2.3. [38,39] A function p:T→R is said to be regressive provided
1+μ(t)p(t)≠0,∀t∈Tκ. |
The set of all positive regressive and rd-continuous functions p:T→R are denoted by
R+={p∈R:1+μ(t)p(t)>0,∀t∈T}. |
Definition 2.4. [38,39] If p∈R+, then we define the exponential function by
ep(t,s)=exp(∫tsξμ(τ)(p(τ))Δτ),∀t,s∈T, |
with the cylinder transformation
ξh(z)={Log(1+hz)h,ifh≠0,z,ifh=0. |
Definition 2.5. [38,39] Let p,q:T→R be two regressive functions, define
p⊕q=p+q+μpq,⊖p=−p1+μp,p⊖q=p⊕(⊖q). |
Lemma 2.1. [38,39] Let p∈R, and t,s,r∈T. Then
(i) e0(t,s)≡1 and ep(t,t)≡1;
(ii) ep(t,s)=1ep(s,t)=e⊖p(s,t);
(iii) ep(t,s)ep(s,r)=ep(t,r);
(iv) (e⊖p(t,s))Δ=(⊖p)(t)e⊖p(t,s).
Definition 2.6. [18] A time scale T is called an almost periodic time scale if
Π:={τ∈R:t±τ∈T,∀t∈T}≠{0}. |
We denote by BC(T,Qn) the set of all bounded continuous functions from T to Qn. Similar to Definition in [18], we give the following definition.
Definition 2.7. Let T be an almost periodic time scale. A function f∈BC(T,Qn) is called an almost periodic on T if the ε-translation set of
T(ε,f)={τ∈Π:‖f(t+τ)−f(t)‖0<ε,∀t∈T} |
is a relatively dense set in R for all ε>0; that is, for any given ε>0, there exists a constant l(ε)>0 such that each interval of length l(ε) contains at least one τ(ε)∈T(ε,f) such that
‖f(t+τ)−f(t)‖0<ε,∀t∈T. |
We denote by AP(T,Qn) the set of all almost periodic functions defined on T.
Define the class of functions PAP0(T,Qn) as follows:
PAP0(T,Qn)={f∈BC(T,Qn):fisΔ−measurablesuchthatlimr→+∞12r∫r−r‖f(t)‖0Δt=0,wherer∈T}. |
Similar to Definition in [35], we give the following definition.
Definition 2.8. A function f∈BC(T,Qn) is called pseudo almost periodic if f=g+h, where g∈AP(T,Qn) and h∈PAP0(T,Qn).
We denote by PAP(T,Qn) the set of all pseudo almost periodic functions from T to Qn.
Similar to the proofs in [21], it is not difficult to prove the following lemmas.
Lemma 2.2. If f,g∈PAP(T,Qn), then f+g,fg∈PAP(T,Qn); if f∈PAP(T,Qn), g∈AP(T,Qn), then fg∈PAP(T,Qn).
Lemma 2.3. If f∈C(Q,Q) satisfies the Lipschitcz condition, φ∈PAP(T,Q) and τ∈C1(T,Π)∩AP(T,R+) with inft∈T{1−τΔ(t)}>0, then f(φ(⋅−τ(⋅)))∈PAP(T,Q).
Throughout this paper, we assume that the following conditions hold:
(H1) aRp∈AP(T,R+) with −aRp∈R+, ap∈AP(T,Q), bpq,cpq,Tpql,up∈PAP(T,Q), ηp,τpq,δpql,ϑpql∈C1(T,Π)∩AP(T,R+) with inft∈T{1−ηΔp(t)}>0, inft∈T{1−τΔpq(t)}>0, inft∈T{1−δΔpql(t)}>0, inft∈T{1−ϑΔpql(t)}>0, where p,q,l∈S.
(H2) There exist positive constants Lfq,Lgq,Lhq,Mhq such that for any x,y∈Q,
‖fq(x)−fq(y)‖Q≤Lfq‖x−y‖Q,‖gq(x)−gq(y)‖Q≤Lgq‖x−y‖Q, |
‖hq(x)−hq(y)‖Q≤Lhq‖x−y‖Q,‖hq(x)‖Q≤Mhq |
and fq(0)=gq(0)=hq(0)=0, where q∈S.
(H3) maxp∈S{Ξpa−p,(1+a+pa−p)Ξp}=:ρ<1, where
Ξp=a+pη+p+ˆa+p+n∑q=1b+pqLfq+n∑q=1c+pqLgq+n∑q=1n∑l=1T+pql(MhqLhl+LhqMhl). |
Let E={ϕ=(ϕ1,ϕ2,…,ϕn)T|ϕ,ϕΔ∈PAP(T,Qn)} with the norm
‖ϕ‖E=maxp∈S{‖ϕ‖0,‖ϕΔ‖0}, |
where ‖ϕ‖0=supt∈Tmaxp∈S{‖ϕp‖∞} and ‖ϕp‖∞=supt∈T‖ϕp(t)‖Q, then E is a Banach space.
Set ϕ0=(ϕ01,ϕ02,…,ϕ0n)T, where
ϕ0p(t)=∫t−∞e−aRp(t,σ(s))up(s)ds,t∈T,p∈S |
and κ is a constant satisfying κ≥‖ϕ0‖E.
Lemma 3.1. Let (H1) hold, then every bounded solution x=(x1,x2,…,xn)T of system (1.1) is a solution of the following system:
xp(t)=∫t−∞e−aRp(t,σ(s))[aRp(s)∫ss−ηp(s)xΔp(u)Δu+ˆap(s)xp(s−ηp(s))+n∑q=1bpq(s)fq(xq(s))+n∑q=1cpq(s)gq(xq(s−τpq(s)))+n∑q=1n∑l=1Tpql(s)hq(xq(s−δpql(s)))hl(xl(s−ϑpql(s)))+up(s)]Δs, | (3.1) |
where p∈S, t∈T, and vice versa.
Proof. On the one hand, if x=(x1,x2,…,xn)T is a solution of (3.1), then by Δ-differentiate both sides of (3.1), we see that x=(x1,x2,…,xn)T is also a solution of (1.1).
On the other hand, let x be a bounded solution of (1.1), then for p∈S,
xΔp(t)=−aRp(t)xp(t)+aRp(t)∫tt−ηp(t)xΔp(s)Δs+ˆap(t)xp(t−ηp(t))+n∑q=1bpq(t)fq(xq(t))+n∑q=1cpq(t)gq(xq(t−τpq(t)))+n∑q=1n∑l=1Tpql(t)hq(xq(t−δpql(t)))hl(xl(t−ϑpql(t)))+up(t),t∈T. | (3.2) |
Multiply both sides of (3.2) by e−aRp(t0,σ(t)), we can get
[xp(t)e−aRp(t0,t)]Δ=e−aRp(t0,σ(t))[aRp(t)∫tt−ηp(t)xΔp(s)Δs+ˆap(t)xp(t−ηp(t))+n∑q=1bpq(t)fq(xq(t))+n∑q=1cpq(t)gq(xq(t−τpq(t)))+n∑q=1n∑l=1Tpql(t)hq(xq(t−δpql(t)))hl(xl(t−ϑpql(t)))+up(t)], | (3.3) |
where t≥t0, t0∈T. Integrating both sides of (3.3) from t0 to t, we obtain
xp(t)=e−aRp(t,t0)xp(t0)+∫tt0e−aRp(t,σ(s))[aRp(s)∫ss−ηp(s)xΔp(u)Δu+ˆap(s)xp(s−ηp(s))+n∑q=1bpq(s)fq(xq(s))+n∑q=1cpq(s)gq(xq(s−τpq(s)))+n∑q=1n∑l=1Tpql(s)hq(xq(s−δpql(s)))hl(xl(s−ϑpql(s)))+up(s)]Δs. |
Letting t0→−∞, then we obtain that (1.1) holds. The proof is complete.
Theorem 3.1. Let (H1)-(H3) hold. Then system (1.1) has a unique pseudo almost periodic solution in E∗={ϕ∣ϕ∈E|‖ϕ−ϕ0‖E≤κρ1−ρ}.
Proof. For any ϕ∈E, we define a mapping Φ:E→PAP(T,Qn) by setting
(ϕ1,ϕ2,…,ϕn)→(xϕ1,xϕ2,…,xϕn), |
where
xϕp(t)=∫t−∞e−aRp(t,σ(s))[aRp(s)∫ss−ηp(s)ϕΔp(u)Δu+ˆap(s)ϕp(s−ηp(s))+n∑q=1bpq(s)fq(ϕq(s))+n∑q=1cpq(s)gq(ϕq(s−τpq(s)))+n∑q=1n∑l=1Tpql(s)hq(ϕq(s−δpql(s)))hl(ϕl(s−ϑpql(s)))+up(s)]Δs,p∈S. |
First, we will prove that Φ maps E into itself. To this end, let
Fp(s)=aRp(s)∫ss−ηp(s)ϕΔp(u)Δu+ˆap(s)ϕp(s−ηp(s))+n∑q=1bpq(s)fq(ϕq(s))+n∑q=1cpq(s)gq(ϕq(s−τpq(s)))+n∑q=1n∑l=1Tpql(s)hq(ϕq(s−δpql(s)))×hl(ϕl(s−ϑpql(s)))+up(s),p∈S. |
Then, by Lemmas 2.2 and 2.3, we find that Fp(s)∈PAP(T,Q). So, for all p∈S, we can set Fp(s)=F1p(s)+F0p(s), where F1p∈AP(T,Q) and F0p∈PAP0(T,Q). We shall show that xϕp∈PAP(T,Q), that is, xϕp can be expressed as
xϕp(t)=∫t−∞e−aRp(t,σ(s))F1p(s)Δs+∫t−∞e−aRp(t,σ(s))F0p(s)Δs:=Ω1p(t)+Ω0p(t),p∈S, |
where Ω1p∈AP(T,Q) and Ω0p∈PAP0(T,Q).
In fact, since aRp∈AP(T,R+) and F1p∈AP(T,Q), for every ε>0, there exists l>0 such that every interval of length l contains a number τ∈Π satisfying
|aRp(t+τ)−aRp(t)|<ε,‖F1p(t+τ)−F1p(t)‖Q<ε,p∈S,t∈T. |
Consequently, we have
‖F1p(t+τ)−F1p(t)‖Q=‖∫t−∞e−aRp(t+τ,σ(s+τ))F1p(s+τ)Δs−∫t−∞e−aRp(t,σ(s))F1p(s)Δs‖Q≤‖∫t−∞e−aRp(t+τ,σ(s+τ))F1p(s+τ)Δs−∫t−∞e−aRp(t+τ,σ(s+τ))F1p(s)Δs‖Q+‖∫t−∞e−aRp(t+τ,σ(s+τ))F1p(s)Δs−∫t−∞e−aRp(t,σ(s))F1p(s)Δs‖Q≤∫t−∞|e−aRp(t+τ,σ(s+τ))|‖F1p(s+τ)−F1p(s)‖QΔs+∫t−∞|e−aRp(t+τ,σ(s+τ))−e−aRp(t,σ(s))|‖F1p(s)‖QΔs<εa−p+‖F1p‖∞(a−p)2ε,p∈S, |
which implies that Ω1p∈AP(T,Q). Then, we will prove that Ω0p∈PAP0(T,Q). In addition, from F0p∈PAP0(T,Q), r∈T, we have
limr→+∞12r∫r−r‖Ω0p(t)‖QΔt=limr→+∞12r∫r−r‖∫t−∞e−aRp(t,σ(s))F0p(s)Δs‖QΔt≤limr→+∞12r∫t−∞e−aRp(t,σ(s))(∫r−r‖F0p(s)‖QΔs)Δt,p∈S, |
which implies that Ω0p∈PAP0(T,Q). Therefore, xϕp∈PAP(T,Q), that is, Φ maps E into PAP(T,Qn).
Next, we will show that Φ is a self-mapping from E∗ to E∗. In fact, for each ϕ∈E∗, we have
‖(Φϕ)(t)−ϕ0(t)‖Qn=maxp∈S{‖∫t−∞e−aRp(t,σ(s))[aRp(s)∫ss−ηp(s)ϕΔp(u)Δu+ˆap(s)ϕp(s−ηp(s))+n∑q=1bpq(s)fq(ϕq(s))+n∑q=1cpq(s)gq(ϕq(s−τpq(s)))+n∑q=1n∑l=1Tpql(s)hq(ϕq(s−δpql(s)))hl(ϕl(s−ϑpql(s)))]Δs‖Q}≤maxp∈S{∫t−∞e−a−p(t,σ(s))[a+pη+p‖ϕΔp‖∞+‖ˆap(s)‖Q‖ϕp(s−ηp(s))‖Q+n∑q=1‖bpq(s)‖QLfq‖ϕq(s)‖Q+n∑q=1‖cpq(s)‖QLgj‖ϕq(s−τpq(s))‖Q+n∑q=1n∑l=1‖Tpql(s)‖QMhlLhq‖ϕq(s−δpql(s)))‖Q]Δs}≤maxp∈S{1a−p[a+pη+p+ˆa+p+n∑q=1b+pqLfq+n∑q=1c+pqLgq+n∑q=1n∑l=1T+pqlMhlLhq]}‖ϕ‖E. |
Thus, we have
‖Φϕ−ϕ0‖0=supt∈T‖(Φϕ)(t)−ϕ0(t)‖Qn≤maxp∈S{1a−p[a+pη+p+ˆa+p+n∑q=1b+pqLfq+n∑q=1c+pqLgq+n∑q=1n∑l=1T+pqlMhlLhq]}‖ϕ‖E. | (3.4) |
On the other hand, we have
‖[Φϕ−ϕ0]Δ‖0=supt∈T‖[(Φϕ)(t)−ϕ0(t)]Δ‖Qn=maxp∈S{supt∈T‖Fp(t)−aRp(t)∫t−∞e−aRp(t,σ(s))Fp(s)Δs‖Q}≤maxpq∈S{[a+pη+p+ˆa+p+n∑q=1b+pqLfq+n∑q=1c+pqLgq+n∑q=1n∑l=1T+pqlMhlLhq]+a+pa−p[a+pη+p+ˆa+p+n∑q=1b+pqLfq+n∑q=1c+pqLgq+n∑q=1n∑l=1T+pqlMhlLhq]}‖ϕ‖E. | (3.5) |
Noting the fact that for ϕ∈E∗, we have
‖ϕ‖E≤‖ϕ0‖E+‖ϕ−ϕ0‖E≤κ+κρ1−ρ≤κ1−ρ. |
It follows from (3.4)-(3.5), and (H3) that
‖Φϕ−ϕ0‖E≤κρ1−ρ, |
thus, we have Φϕ∈E∗.
Finally, we will show that Φ is a contraction mapping in E∗. For any ϕ,ψ∈E∗, we can get
‖(Φϕ)(t)−(Φψ)(t)‖Qn=maxp∈S{‖∫t−∞e−aRp(t,σ(s))(aRp(s)∫ss−ηp(s)[ϕΔp(u)−ψΔp(u)]Δu+ˆap(s)[ϕp(s−ηp(s))−ψp(s−ηp(s))]+n∑q=1bpq(s)[fq(ϕq(s))−fq(ψq(s))]+n∑q=1cpq(s)[gq(ϕq(s−τpq(s)))−gq(ψq(s−τpq(s)))]+n∑q=1n∑l=1Tpql(s)[hq(ϕq(s−δpql(s)))hl(ϕl(s−ϑpql(s)))−hq(ϕq(s−δpql(s)))hl(ϕl(s−ϑpql(s)))])Δs‖Q}≤maxp∈S{∫t−∞e−a−p(t,σ(s))(a+pη+p‖ϕΔp−ψΔp‖∞+‖ˆap(s)‖Q‖ϕp(s−ηp(s))−ψp(s−ηp(s))‖Q+n∑q=1‖bpq(s)‖QLfq‖ϕq(s)−ψq(s)‖Q+n∑q=1‖cpq(s)‖QLgq×‖ϕq(s−τpq(s))−ψq(s−τpq(s))‖Q+n∑q=1n∑l=1‖Tpql(s)‖Q×[‖hq(ϕq(s−δpql(s)))‖Q‖hl(ϕl(s−ϑpql(s)))−hl(ψl(s−ϑpql(s)))‖Q+‖hq(ϕq(s−δpql(s)))−hq(ψq(s−δpql(s)))‖Q‖hl(ψl(s−ϑpql(s)))‖Q])Δs}≤maxp∈S{1a−p[a+pη+p+ˆa+p+n∑q=1b+pqLfq+n∑q=1c+pqLgq+n∑q=1n∑l=1Tpql(MhqLhl+LhqMhl)]}‖ϕ−ψ‖E. | (3.6) |
It follows from (3.6) that
‖Φϕ−Φψ‖0≤maxp∈S{1a−p[a+pη+p+ˆa+p+n∑q=1b+pqLfq+n∑q=1c+pqLgq+n∑q=1n∑l=1T+pql(MhqLhl+LhqMhl)]}‖ϕ−ψ‖E=maxp∈S{Ξpa−p}‖ϕ−ψ‖E. | (3.7) |
On the other hand, we can derive that
‖[Φϕ−Φψ]Δ‖0≤maxp∈S{Ξp+a+pa−pΞp}‖ϕ−ψ‖E. | (3.8) |
By (3.7), (3.8) and (H3), we have
‖Φϕ−Φψ‖E≤ρ‖ϕ−ψ‖E, |
in view of the definition of ρ, which implies that Φ is a contraction mapping. Therefore, Φ has a unique fixed point in E∗, that is, (1.1) has a unique pseudo almost periodic solution in E∗. The proof is complete.
Definition 3.1. Let x=(x1,x2,…,xn)T be a solution of (1.1) with the initial value ϕ=(ϕ1,ϕ2,…,ϕn)T. If there exist positive constants λ>0 and M>0 such that every solution y=(y1,y2,…,yn)T of (1.1) with initial value ψ=(ψ1,ψ2,…,ψn)T satisfies
‖y(t)−x(t)‖1≤Me⊖λ(t,t0)‖ψ−ϕ‖θ,∀t∈(t0,+∞)T, |
where
‖y(t)−x(t)‖1=max{‖y(t)−x(t)‖Qn,‖[y(t)−x(t)]Δ‖Qn}, |
‖ψ−ϕ‖θ=max{sups∈[t0−θ,t0]T‖ψ(s)−ϕ(s)‖Qn,sups∈[t0−θ,t0]T‖[ψ(s)−ϕ(s)]Δ‖Qn}, |
then the solution x is said to be globally exponentially stable.
Theorem 3.2. Assume that (H1)-(H3) hold, then system (1.1) has a unique pseudo almost periodic solution that is globally exponentially stable.
Proof. From Theorem 3.1, we see that system (1.1) has a pseudo almost periodic solution x(t)=(x1(t),x2(t),…,xn(t))T with initial value ϕ(s)=(ϕ1(s),ϕ2(s),…,ϕn(s))T. Suppose that y(t)=(y1(t),y2(t),…,yn(t))T is an arbitrary solution of system (1.1) with initial value ψ(s)=(ψ1(s),ψ2(s),…,ψn(s))T and let z(t)=y(t)−x(t), then we have
zΔp(t)=−aRp(t)[yp(t)−xp(t)]+aRp(t)∫tt−ηp(t)[yΔp(s)−xΔp(s)]Δs+ˆap(t)[yp(t−ηp(t))−xp(t−ηp(t))]+n∑q=1bpq(t)[fq(yq(t))−fq(xq(t))]+n∑q=1cpq(t)[gq(yq(t−τpq(t)))−gq(xq(t−τpq(t)))]+n∑q=1n∑l=1Tpql(t)[hq(yq(t−δpql(t)))hl(yl(t−ϑpql(t)))−hq(xq(t−δpql(t)))hl(xl(t−ϑpql(t)))],p∈S,t∈T. | (3.9) |
For p∈S, let Θp and Ψp be defined as follows:
Θp(ω)=a−p−ω−exp(ωsups∈Tμ(s))[a+pη+pexp(ωη+p)+ˆa+pexp(ωη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(ωτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(ωδ+pql)+LhqMhlexp(ωϑ+pql))] |
and
Ψp(ω)=a−p−ω−(a+pexp(ωsups∈Tμ(s))+a−p)[a+pη+pexp(ωη+p)+ˆa+pexp(ωη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(ωτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(ωδ+pql)+LhqMhlexp(ωϑ+pql))]. |
By (H3), we have
Θp(0)=a−p−Ξp>0 |
and
Ψp(0)=a−p−(a+p+a−p)Ξp>0. |
Based on the continuities of functions Θp and Ψp on [0,+∞), and the fact that Θp(ω),Ψp(ω)→−∞, as ω→+∞, there exist ζp,ξp>0 such that Θp(ζp)=Ψp(ξp)=0 and Θp(ω)>0 for ω∈(0,ζp), Ψp(ω)>0 for ω∈(0,ξp). Take γ=minp∈S{ζp,ξp}, we have Θp(γ)≥0, Ψp(γ)≥0. So, we can choose a positive constant 0<λ<min{γ,minp∈S{a−p}} with λ∈R+ such that
Θp(λ)>0,Ψp(λ)>0,p∈S, |
which implies that
exp(λsups∈Tμ(s))a−p−λ[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]<1 |
and
(1+a+pexp(λsups∈Tμ(s))a−p−λ)[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]<1,p∈S. |
Let M=maxp∈S{a−pΞp}, then by (H3), we have M>1. Thus,
1M−minp∈S{exp(λsups∈Tμ(s))a−p−λ[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]}<0. |
Since e⊖λ(t,t0)>1 for t∈[t0−θ,t0]T, it is obvious that, for any ε>0,
‖z(t0)‖1<(‖ψ−ϕ‖θ+ε) |
and
‖z(t)‖1<(‖ψ−ϕ‖θ+ε)e⊖λ(t,t0)<M(‖ψ−ϕ‖θ+ε)e⊖λ(t,t0),∀t∈[t0−θ,t0]T. |
We claim that
‖z(t)‖1<M(‖ψ−ϕ‖θ+ε)e⊖λ(t,t0),∀t∈(t0,+∞)T. | (3.10) |
If (3.10) is not true, then there must be some t1∈(t0,+∞)T such that
{‖z(t1)‖1≥M(‖ψ−ϕ‖θ+ε)e⊖λ(t1,t0),‖z(t)‖1≤M(‖ψ−ϕ‖θ+ε)e⊖λ(t,t0),t∈(t0,t1)T. |
Hence, there must exist a constant P≥1 such that
{‖z(t1)‖1=PM(‖ψ−ϕ‖θ+ε)e⊖λ(t1,t0),‖z(t)‖1≤PM(‖ψ−ϕ‖θ+ε)e⊖λ(t,t0),t∈(t0,t1)T. | (3.11) |
Multiplying both sides of (3.9) by e−aRp(t0,σ(t)) and integrating over [t0,t]T, we get
zp(t)=e−aRp(t,t0)zp(t0)+∫tt0e−aRp(t,σ(s))(aRp(s)∫ss−ηp(s)[yΔp(u)−xΔp(u)]Δu+ˆap(s)[yp(s−ηp(s))−xp(s−ηp(s))]+n∑q=1bpq(s)[fq(yq(s))−fq(xq(s))]+n∑q=1cpq(s)[gq(yq(s−τpq(s)))−gq(xq(s−τpq(s)))]+n∑q=1n∑l=1Tpql(s)[hq(yq(s−δpql(s)))hl(yl(s−ϑpql(s)))−hq(xq(s−δpql(s)))hl(xl(s−ϑpql(s)))])Δs. | (3.12) |
In view of (3.12) and M>1, we have
‖z(t1)‖Qn=maxp∈S{‖zp(t1)‖Q}=maxp∈S{‖e−aRp(t1,t0)zp(t0)+∫t1t0e−aRp(t1,σ(s))(aRp(s)∫ss−ηp(s)[yΔp(u)−xΔp(u)]Δu+ˆap(s)[yp(s−ηp(s))−xp(s−ηp(s))]+n∑q=1bpq(s)[fq(yq(s))−fq(xq(s))]+n∑q=1cpq(s)[gq(yq(s−τpq(s)))−gq(xq(s−τpq(s)))] |
+n∑q=1n∑l=1Tpql(s)[hq(yq(s−δpql(s)))hl(yl(s−ϑpql(s)))−hq(xq(s−δpql(s)))hl(xl(s−ϑpql(s)))])Δs‖Q}≤maxp∈S{e−aRp(t1,t0)‖zp(t0)‖Q+PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε)×∫t1t0e−aRp⊕λ(t1,σ(s))[a+p∫ss−ηp(s)eλ(σ(u),u)Δu+ˆa+peλ(σ(s),s−ηp(s))+n∑q=1b+pqLfqeλ(σ(s),s)+n∑q=1c+pqLgqeλ(σ(s),s−τpq(s))+n∑q=1n∑l=1T+pql(MhqLhleλ(σ(s),s−δpql(s))+LhqMhleλ(σ(s),s−ϑpql(s)))]Δs}≤maxp∈S{e−aRp(t1,t0)‖zp(t0)‖Q+PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε)×∫t1t0e−dp⊕λ(t1,σ(s))[a+pη+pexp[λ(η+p+sups∈Tμ(s))] |
+ˆa+pexp[λ(η+p+sups∈Tμ(s))]+n∑q=1b+pqLfqexp(λsups∈Tμ(s))+n∑q=1c+pqLgqexp[λ(τ+pq+sups∈Tμ(s))]+n∑q=1n∑l=1T+pql(MhqLhl×exp[λ(δ+pql+sups∈Tμ(s))]+LhqMhlexp[λ(ϑ+pql+sups∈Tμ(s))])]Δs}≤maxp∈S{PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε){e−aRp⊕λ(t1,t0)PM+∫t1t0e−aRp⊕λ(t1,σ(s))×exp(λsups∈Tμ(s))[a+pη+pexp(λη+p)+ˆa+pexp(λη+p) |
+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]Δs}}<maxp∈S{PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε){e−aRp⊕λ(t1,t0)M+1−e−aRp⊕λ(t1,t0)a−p−λ×exp(λsups∈Tμ(s))[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq |
+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]}}=maxp∈S{PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε){(1M−exp(λsups∈Tμ(s))a−p−λ×[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))])×e−aRp⊕λ(t1,t0)+exp(λsups∈Tμ(s))a−p−λ[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]}}<PMe⊖λ(t1,t0)(‖ψ−ϕ‖θ+ε) |
and
‖zΔ(t1)‖Qn=maxp∈S{‖zΔp(t1)‖Q}≤maxp∈S{a+pe−aRp(t1,t0)(‖ψ−ϕ‖1+ε)+PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε)×[a+p∫t1t1−ηp(t1)eλ(σ(s),s)Δs+ˆa+peλ(σ(t1),t1−ηp(t1))+n∑q=1b+pqLfqeλ(σ(t1),t1)+n∑q=1c+pqLgqeλ(σ(t1),t1−τpq(t1))+n∑q=1n∑l=1T+pql(MhqLhleλ(σ(t1),t1−δpql(t1))+LhqMhleλ(σ(t1),t1−ϑpql(t1)))]+a+pPMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε)∫t1t0e−aRp⊕λ(t1,σ(s))×[a+p∫ss−ηp(s)eλ(σ(u),u)Δu+ˆa+peλ(σ(s),s−ηp(s))+n∑q=1b+pqLfqeλ(σ(s),s)+n∑q=1c+pqLgqeλ(σ(s),s−τpq(s))+n∑q=1n∑l=1T+pql(MhqLhleλ(σ(s),s−δpql(s))+LhqMhleλ(σ(s),s−ϑpql(s)))]Δs}≤maxp∈S{a+pe−aRp(t1,t0)(‖ψ−ϕ‖1+ε)+PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε)×[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]×[1+a+pexp(λsups∈Tμ(s))∫t1t0e−aRp⊕λ(t1,σ(s))Δs]}≤maxp∈S{PMe⊖λ(t1,t0)(‖ψ−ϕ‖1+ε){[1M−exp(λsups∈Tμ(s))a−p−λ×[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]e−aRp⊕λ(t1,t0)+(1+a+pexp(λsups∈Tμ(s))a−p−λ)[a+pη+pexp(λη+p)+ˆa+pexp(λη+p)+n∑q=1b+pqLfq+n∑q=1c+pqLgqexp(λτ+pq)+n∑q=1n∑l=1T+pql(MhqLhlexp(λδ+pql)+LhqMhlexp(λϑ+pql))]}}<PMe⊖λ(t1,t0)(‖ψ−ϕ‖θ+ε). |
The above two inequalities imply that
‖z(t1)‖1<PMe⊖λ(t1,t0)(‖ψ−ϕ‖θ+ε), |
which contradicts the first equation of (3.11). Therefore, (3.10) holds. Letting ε→0+ leads to
‖z(t)‖1≤Me⊖λ(t,t0)‖ψ−ϕ‖θ,∀t∈(t0,+∞)T. |
Hence, the pseudo almost periodic solution of system (1.1) is globally exponentially stable. The proof is complete.
Example 4.1. In system (1.1), let n=2,t0=0 and take
fq(xq)=140sin(xRq+xIq+xKq)+i150sinxIq+j140sinxJq+k145sinxKq, |
gq(xq)=150sinxRq+i155sin(xIq+xKq)+j160sinxJq+k155sin(xRq+xKq), |
hq(xq)=130sinxRq+i120sinxIq+j125sinxJq+k125sin(xIq+xKq), |
a1(t)=0.4+0.1|cos√2t|+0.2icos2t+(0.2−0.05cos3t)j+0.1ksin√2t, |
a2(t)=0.6−0.1sin√3t+0.3isin√2t+0.2jsin√3t+0.25kcos2t, |
b11(t)=b12(t)=0.2cos√3t+0.2icos2t+0.4jsin√2t+0.3ksin2t, |
b21(t)=b22(t)=0.4sin2t+0.2icos3t+0.5jsin√3t+0.5ksin√2t, |
c11(t)=c12(t)=0.5sin√2t+0.5isint+0.8jcost+0.6kcos2t, |
c21(t)=c22(t)=0.8cost+11+t2+isin2t+0.5jsint+0.9kcos√3t, |
T111(t)=T112(t)=0.4sin√2t+0.3isint+0.5jsin√3t+0.2kcos√2t, |
T121(t)=T122(t)=1.2sint+1.5icost+0.7jcos√2t+kcost, |
T211(t)=T212(t)=0.5cos2t+0.8isint+0.6jsin√2t+0.7ksin√2t, |
T221(t)=T222(t)=2cos2t+1.6icost+0.9jcos2t+ksin2t, |
u1(t)=0.2(sin√3t+e−t2cos2t)+0.4icos2t+0.3jcos√2t+0.3ksin√3t, |
u2(t)=0.3(cos√2t+e−t2cos2t)+0.4isin√2t+0.35jsin2t+0.2kcos√3t. |
If T=R, we take
ηp(t)=0.1|sin2t|,τpq(t)=0.2|cost|,δpql(t)=ϑpql(t)=0.3|sin2t|. |
If T=Z, we take
ηp(t)=2|cos(2πt)|,τpq(t)=3|sinπt|,δpql(t)=ϑpql(t)=2|sin(2πt)|. |
By a simple calculation, we have
Lfq=140,Lgq=150,Lhq=Lhl=120,Mhq=Mhl=120, |
a−1=0.4,a−2=0.5,a+1=0.5,a+2=0.7,ˆa+1=0.2,ˆa+2=0.3, |
b+11=b+12=0.4,b+21=b+22=0.5,c+11=c+12=0.8,c+21=c+22=1, |
T+111=T+112=0.5,T+121=T+122=1.5,T+211=T+212=0.8,T+221=T+222=2. |
When T=R, we have
η+p=0.1,τ+pq=0.2,δ+pql=ϑ+pql=0.3,Ξ1=0.322,Ξ2=0.463 |
and
max{Ξ1a−1,(1+a+1a−1)Ξ1,Ξ2a−2,(1+a+2a−2)Ξ2}=max{0.805,0.7245,0.926,0.6482}=0.926=ρ<1. |
When T=Z, we have
η+p=0,τ+pq=3,δ+pql=ϑ+pql=2,Ξ1=0.272,Ξ2=0.393 |
and
max{Ξ1a−1,(1+a+1a−1)Ξ1,Ξ2a−2,(1+a+2a−2)Ξ2}=max{0.68,0.34,0.786,0.5502}=0.786=ρ<1. |
Hence, whether T=R or T=Z, all the conditions of Theorems 3.1 and 3.2 are satisfied. Consequently, we know that system (1.1) has a pseudo almost periodic solution, which is globally exponentially stable. Simulated by Matlab, when T=R and T=Z, Figures 1 and 2 show the time responses of the variables of system (1.1). Figure 1 has initial values
(xR1(0),xR2(0))T=(−0.5,−0.1)T,(0.5,0.3)T,(0.1,−0.2)T, |
(xI1(0),xI2(0))T=(−0.2,−0.5)T,(−0.3,0.1)T,(0.4,0.2)T, |
(xJ1(0),xJ2(0))T=(−0.1,0.1)T,(0.3,−0.3)T,(0.5,−0.5)T, |
(xK1(0),xK2(0))T=(−0.25,0.3)T,(−0.5,0.5)T,(−0.15,0.1)T. |
Figure 2 has initial values
(xR1(0),xR2(0))T=(0.1,−0.2)T,(0.2,−0.3)T,(0.4,−0.5)T, |
(xI1(0),xI2(0))T=(0.5,−0.4)T,(−0.3,−0.1)T,(0.2,0.35)T, |
(xJ1(0),xJ2(0))T=(−0.5,0.1)T,(−0.1,0.3)T,(−0.3,0.5)T, |
(xK1(0),xK2(0))T=(0.05,−0.2)T,(−0.4,−0.5)T,(0.25,0.5)T. |
In this paper, we have established the existence and global exponential stability of pseudo almost periodic solutions for quaternion-valued high-order Hopfield neural networks with time-varying delays and leakage delays on time scales. The results of this paper are essentially new. In addition, we expect to extend this work to study other types of quaternion-valued neural networks on time scales.
This work is supported by the National Natural Science Foundation of China under Grant No. 11861072.
Both authors declare no conflicts of interest in this paper.
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