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Periodic solutions for quaternion-valued fuzzy cellular neural networks with time-varying delays
Advances in Difference Equations volume 2019, Article number: 63 (2019)
Abstract
In this paper, quaternion-valued fuzzy cellular neural networks (QVFCNNs) with time-varying delays are considered. First, we decompose QVFCNNs into their equivalent real-valued systems according to Hamilton’s multiplication rules. Then, we establish the existence and global exponential stability of periodic solutions of QVFCNNs by using the Schauder fixed point theorem and by constructing an appropriate Lyapunov function. Our results are completely new and supplementary to the known results. Finally, we give a numerical example to illustrate the effectiveness of our results.
1 Introduction
Quaternion was invented by the Irish mathematician W. R. Hamilton in 1843 [1]. The skew field of quaternion is denoted by
where \(q_{0}, q_{1}, q_{2}, q_{3}\) are real numbers and the elements \(i, j\), and k obey Hamilton’s multiplication rules:
Quaternion multiplication does not conform to the law of commutation, so the study on quaternion is much more difficult than that on plurality. Fortunately, over the past 20 years, especially in algebra area, quaternion has been a hot topic for the effective applications in the real world. Also, a new class of differential equations, named quaternion differential equations, has been already applied successfully to the fields such as quantum mechanics [2, 3], robotic manipulation [4], fluid mechanics [5], differential geometry [6], communications problems, signal processing [7,8,9], and neural networks [10,11,12,13]. In particular, in recent years, the applications of quaternion-valued neural networks (QVNNs), which are described by quaternion-valued differential equations, have been widely investigated. One practical application by QVNNs is the 3D geometrical affine transformation, especially spatial rotation, which can be represented based on QVNNs efficiently and compactly [14, 15]. Other practical applications of QVNNs are image impression, color night vision [16], etc.
On the one hand, it is well known that neural networks have been extensively studied for their wide application in image processing, pattern recognition, optimization solvers, artificial intelligence, fixed point calculations, and other engineering fields [17,18,19,20]. These applications rely heavily on their dynamics. Many scholars tried to shed some light on the information about the dynamics of QVNNs. For example, authors of [21] studied the global μ-stability criteria for quaternion-valued neural networks with unbounded time-varying delays; from the view of matrix measure, based on Halanay inequality instead of Lyapunov function, authors of [22] derived some sufficient conditions to guarantee the global exponential stability for QVNNs; authors of [23] investigated the periodicity of QVNNs by a continuation theorem of coincidence degree theory; authors of [24] studied the existence of pseudo almost periodic solutions of QVNNs. However, as we all know, up to now, there have been few results about the dynamics of quaternion-valued neural networks.
On the other hand, fuzzy cellular neural networks (FCNNs) proposed by Yang and Yang in 1996 [25] have been successfully applied in many fields such as physics, chemistry, biology, economics, sociology, medicine, meteorology, and so on [26]. In recent years, many researchers have done a lot of research on the solutions of general fuzzy differential equations and the dynamics of FCNNs (see [27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47] and the references therein). As is known, periodic oscillations and almost periodic oscillations are important dynamical behaviors of non-autonomous neural networks. However, as far as we know, no scholars have studied the periodic solutions of quaternion-valued fuzzy cellular neural networks (QVFCNNs).
Considering the discussion above, in this paper, we are committed to studying the following QVFCNN with time-varying delays:
where \(p=1,2,\ldots,n\), n is the number of neurons in layers; \(x_{p}(t)\in\mathbb{H}\) is the state of the pth neuron at time t, and \(\mu_{q}(t)\in\mathbb{H}\) is the deviations of the qth neuron at time t; \(a_{p}(t)>0\) represents the rate at which the pth neuron will reset its potential to the resting state in isolation when it is disconnected from the network and the external inputs at time t, \(\alpha_{pq}(t)\in\mathbb{H}\), \(\beta_{pq}(t)\in\mathbb{H}\), \(T_{pq}(t)\in\mathbb{H}\), and \(S_{pq}(t)\in\mathbb{H}\) are the elements of fuzzy feedback MIN template, fuzzy feedback MAX template, fuzzy feed forward MIN template, and fuzzy feed forward MAX template, respectively; \(b_{pq}(t)\in\mathbb{H}\) and \(d_{pq}(t)\in\mathbb{H}\) are the elements of feedback template and feed forward template, ⋀, ⋁ denote the fuzzy AND and fuzzy OR operations, respectively; \(f_{q}(\cdot)\) and \(g_{q}(\cdot):\mathbb{H}\rightarrow \mathbb{H}\) are the activation functions; \(\tau_{pq}(t)\geq0\), \(\eta _{pq}(t)\geq0\), and \(\xi_{pq}(t)\geq0\) correspond to transmission delays at time t; \(I_{p}(t)\in\mathbb{H}\) denotes the input of the pth neuron at time t.
Our main purpose of this paper is by using the Schauder fixed point theorem and constructing an appropriate Lyapunov function to study the existence, the uniqueness, and the global exponential stability of periodic solutions of (1). Our results are completely new and when (1) degenerates into real-valued system, our results remain new and supplementary to the known results obtained in [23, 32, 45,46,47], and our method used in this paper is different from those used in [23, 32, 45,46,47].
The rest of this paper is organized as follows. In Sect. 2, we introduce some symbols and definitions and present some preliminary results needed later. In Sect. 3, we establish some sufficient conditions for the existence and global exponential stability of periodic solutions of (1). In Sect. 4, an example is given to illustrate the effectiveness of the results.
2 Preliminaries
In this section, we introduce some definitions, notions, lemmas and decompose (1) into an equivalent real-valued system.
Definition 1
Let \(h=h^{R}+ih^{I}+jh^{J}+h^{K}:\mathbb{R}\rightarrow\mathbb{H}\), where \(h^{l}: \mathbb{R}\rightarrow\mathbb{H}\), \(l\in\{R,I,J,K\}:=\varUpsilon\). h is said to be ω-anti-periodic if for every \(l\in\varUpsilon\), \(h^{l}:\mathbb{R}\rightarrow\mathbb{R}\) is ω-anti-periodic on \(\mathbb{R}\).
Lemma 1
([48] Schauder fixed point theorem)
Let E be a normed space, and let C be a convex, bounded, and closed subset of E. If \(T:C\rightarrow C\) is continuous with \(\overline{T(C)}\) compact, then T has at least one fixed point.
Throughout this paper, we assume the following.
- \((H_{1})\) :
-
Let \(x_{p}=x_{p}^{R}+ix_{p}^{I}+jx_{p}^{J}+kx_{p}^{K}, x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K}:\mathbb{R}\rightarrow\mathbb{R}\) and assume \(f_{p}(x_{p})\) and \(g_{p}(x_{p})\) can be expressed as
$$\begin{aligned} f_{p}(x_{p})={}&f_{p}^{R} \bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr)+if_{p}^{I}\bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr) \\ &{}+jf_{p}^{J}\bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr)+kf_{p}^{K}\bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr), \\ g_{p}(x_{p})={}&g_{p}^{R} \bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr)+ig_{p}^{I}\bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr) \\ &{}+jg_{p}^{J}\bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr)+kg_{p}^{K}\bigl(x_{p}^{R},x_{p}^{I},x_{p}^{J},x_{p}^{K} \bigr), \end{aligned}$$where \(f_{p}^{l}\), \(g_{p}^{l}:\mathbb{R}^{4}\rightarrow\mathbb{R}, p=1,2,\ldots ,n, l\in\varUpsilon\).
- \((H_{2})\) :
-
Functions \(a_{p}\), \(\tau_{pq}\), \(\eta_{pq}\), \(\xi _{pq}\in C(\mathbb{R},\mathbb{R}^{+})\), \(b_{pq}\), \(d_{pq}\), \(\alpha _{pq}\), \(\beta_{pq}\), \(T_{pq}\), \(S_{pq}, \mu_{q},I_{p}\in C(\mathbb {R},\mathbb{H})\) are ω-periodic functions, where \(x^{l}_{q}\in \mathbb{R}\), \(p,q=1,2,\ldots,n\).
- \((H_{3})\) :
-
Functions \(f^{l}_{q}\), \(g^{l}_{q}\in C(\mathbb {R}^{4},\mathbb{R})\) and there exist positive constants \(L_{f}\), \(L_{g}\) such that, for all \(x_{q}^{l}\), \(y_{q}^{l}\in\mathbb{R}\),
$$\begin{aligned} &\bigl\vert f^{l}_{q}\bigl(x^{R}_{q},x^{I}_{q},x^{J}_{q},x^{K}_{q} \bigr)-f^{l}_{q}\bigl(y^{R}_{q},y^{I}_{q},y^{J}_{q},y^{K}_{q} \bigr) \bigr\vert \\ &\quad\leq L_{f} \bigl( \bigl\vert x^{R}_{q}-y^{R}_{q} \bigr\vert + \bigl\vert x^{I}_{q}-y^{I}_{q} \bigr\vert + \bigl\vert x^{J}_{q}-y^{J}_{q} \bigr\vert + \bigl\vert x^{K}_{q}-y^{K}_{q} \bigr\vert \bigr), \\ &\bigl\vert g^{l}_{h}\bigl(x^{R}_{q},x^{I}_{q},x^{J}_{q},x^{K}_{q} \bigr)-g^{l}_{q}\bigl(y^{R}_{q},y^{I}_{q},y^{J}_{q},y^{K}_{q} \bigr) \bigr\vert \\ &\quad\leq L_{g} \bigl( \bigl\vert x^{R}_{q}-y^{R}_{q} \bigr\vert + \bigl\vert x^{I}_{q}-y^{I}_{q} \bigr\vert + \bigl\vert x^{J}_{q}-y^{J}_{q} \bigr\vert + \bigl\vert x^{K}_{q}-y^{K}_{q} \bigr\vert \bigr) \end{aligned}$$and \(f_{q}^{l}(0,0,0,0)=0, g_{q}^{l}(0,0,0,0)=0\), \(q=1,2,\ldots,n\), \(l\in\varUpsilon\).
For \(p,q=1,2,\ldots,n\), assume that
We will adopt the following notations:
The initial value of system (1) is given by
where \(\varphi_{p}^{l}\in C([t_{0}-\theta,t_{0}],\mathbb{R}),l\in\varUpsilon\).
Based on \((H_{1})\) and Hamilton’s rules, one can obtain from (1) that
where \(x_{p}^{R}(t)+ix_{p}^{I}(t)+jx_{p}^{J}(t)+kx_{p}^{K}(t)= x_{p}(t)\), \(\tilde {f}_{q}^{l} [t,x,\tau ]\) and \(\tilde{g}_{q}^{l} [s,x ]\) denote \(f_{q}^{l}(x_{q}^{R}(t-\tau_{pq}(t)), x_{q}^{I}(t-\tau_{pq}(t)),x_{q}^{J}(t-\tau _{pq}(t)),x_{q}^{K}(t-\tau_{pq}(t)))\), and \(g_{q}^{l}(x_{q}^{R}(s),x_{q}^{I}(s), x_{q}^{J}(s),x_{q}^{K}(s))\), respectively, \(p,q=1,2,\dots,n,l\in\varUpsilon\). That is, (1) can be expressed in the following form:
with the initial value
Remark 1
If \(x=(x_{1}^{R},\ldots,x_{n}^{R},x_{1}^{I},\ldots,x_{n}^{I},x_{1}^{J},\ldots ,x_{n}^{J},x_{1}^{K},\ldots,x_{n}^{K})^{T}\) is a solution to system (2), then \(u=(x_{1},x_{2},\ldots,x_{n})^{T}\), where \(x_{p}=x_{p}^{R}+ix_{p}^{I}+jx_{p}^{J}+kx_{p}^{K}, p=1,2,\ldots,n\), is a solution to (1). Thus, to study the existence and stability of solutions of (1), we just need to study the existence and stability of solutions of system (2).
Definition 2
Let \(x=(x_{1}^{R},\ldots,x_{n}^{R},x_{1}^{I},\ldots,x_{n}^{I},x_{1}^{J},\ldots ,x_{n}^{J},x_{1}^{K},\ldots,x_{n}^{K})^{T}\) be a solution of (2) with the initial value \(\varphi=(\varphi_{1}^{R},\ldots,\varphi_{n}^{R},\varphi _{1}^{I},\ldots,\varphi_{n}^{I},\varphi_{1}^{J},\ldots,\varphi_{n}^{J}, \varphi_{1}^{K},\ldots,\varphi_{n}^{K})^{T}\) and \(y=(y_{1}^{R},\ldots,y_{n}^{R},y_{1}^{I},\ldots, y_{n}^{I},y_{1}^{J},\ldots ,y_{n}^{J},y_{1}^{K},\ldots,y_{n}^{K})^{T}\) be an arbitrary solution of system (2) with the initial value \(\varphi=(\varphi_{1}^{R},\ldots,\varphi_{n}^{R},\varphi_{1}^{I}, \ldots,\varphi_{n}^{I},\varphi_{1}^{J},\ldots,\varphi_{n}^{J},\varphi_{1}^{K},\ldots ,\varphi_{n}^{K})^{T}\), respectively, where \(\varphi,\psi\in C([t_{0}-\theta,t_{0}],\mathbb{R}^{4n})\). If there exist constants \(\lambda>0\) and \(M>0\) such that
where
Then the solution x of system (2) is said to be globally exponentially stable.
Lemma 2
([25])
Let \(\alpha_{pq}^{l},\beta _{pq}^{l},x_{q}^{R},x_{q}^{I},x_{q}^{J},x_{q}^{K},y_{q}^{R},y_{q}^{I},y_{q}^{J},y_{q}^{K}:\mathbb {R}\rightarrow\mathbb{R}\) and \(g_{q}^{r}:\mathbb{R}^{4}\rightarrow\mathbb {R}\) be continuous functions for \(p,q=1,2,\ldots,n\), \(l,r\in\varUpsilon\), then we have
3 Main results
In this section, we establish some sufficient conditions for the existence and exponential stability of periodic solutions of (1).
Set
For constant vector \(\rho=(\rho_{1_{R}},\rho_{1_{I}},\rho_{1_{J}},\rho _{1_{K}},\ldots,\rho_{n_{R}},\rho_{n_{I}},\rho_{n_{J}},\rho_{n_{K}})^{T}\in\mathbb {R}^{4n}\) with \(\rho_{p_{l}}>0\) for \(p=1,2,\ldots,n,l\in\varUpsilon\), we define the following norm:
Then \(\mathbb{X}\) is a Banach space when it is endowed with the norm \(\Vert \cdot \Vert _{\mathbb{X}}\).
Obviously, if \(x= (x_{1}^{R},x_{1}^{I},x_{1}^{J},x_{1}^{K},\ldots ,x_{n}^{R},x_{n}^{I},x_{n}^{J},x_{n}^{K} )^{T}\in\mathbb{X}\) is a solution of system (2), then
for \(p=1,2,\ldots,n, l\in\varUpsilon\). Integrating both sides of (3) over \([t,t+\omega]\), we can get
where \(G_{p}(t,s)=\frac{e^{-{\int_{s}^{t+\omega}a_{p}(u)\,du}}}{1-e^{-\omega\bar {a}_{p}}}\), \(t\leq s\leq t+\omega\), \(p=1,2,\ldots,n, l\in\varUpsilon\).
Define an operator \(\varPhi:\mathbb{X}\rightarrow\mathbb{X}\) by
where for \(p=1,2,\ldots,n, l\in\varUpsilon\),
From (4), it is easy to verify that \(x\in\mathbb{X}\) is an ω-periodic solution of system (2) provided x is a fixed point of Φ in \(\mathbb{X}\).
It is easy to see that if there exist positive numbers \(\rho_{1_{R}},\rho _{1_{I}},\rho_{1_{J}},\rho_{1_{K}},\ldots, \rho_{n_{R}},\rho_{n_{I}},\rho_{n_{J}},\rho_{n_{K}}\) such that
then there exists a sufficiently large \(\kappa\geq1\) such that \(\gamma \leq\frac{1}{4}(1-\iota\kappa^{-1})\), where
Lemma 3
Under hypotheses \((H_{1})\)–\((H_{3})\), suppose that there exist positive numbers \(\rho_{1_{R}},\rho_{1_{I}}, \rho_{1_{J}}, \rho_{1_{K}},\ldots,\rho_{n_{R}},\rho_{n_{I}},\rho_{n_{J}},\rho_{n_{K}}\) such that inequality (7) holds, then the mapping Φ is a self-mapping in the region \(\mathbb{B}=\{ x=(x_{1}^{R},x_{1}^{I},x_{1}^{J},x_{1}^{K},\ldots,x_{n}^{R},x_{n}^{I},x_{n}^{J},x_{n}^{K})^{T}\in\mathbb {X}: \Vert x \Vert \leq\kappa\}\).
Proof
For \(x\in\mathbb{B}\), from (6), we have
Similarly, from (6), we can obtain
Thus,
The proof is complete. □
Lemma 4
Assume that \((H_{1})\)–\((H_{3})\) hold and suppose further that there exist positive numbers \(\rho_{1_{R}},\rho_{1_{I}},\rho_{1_{J}}, \rho_{1_{K}},\ldots,\rho_{n_{R}},\rho_{n_{I}},\rho_{n_{J}},\rho_{n_{K}}\) such that inequality (7) holds, then the mapping \(\varPhi:\mathbb {B}\rightarrow\mathbb{B}\) defined by (5) is completely continuous.
Proof
It is obvious that Φ is continuous.
Next, we prove that Φ is compact. For any \(M>0\), let \(S=\{x\in \mathbb{X}: \Vert x \Vert _{\mathbb{X}}\leq M\}\). Then, for \(x\in S\), we have
For \(\forall x\in S\), we have
Therefore,
which implies that ΦS is uniformly bounded.
On the other hand,
Hence, for \(x\in S\), we have
Therefore,
which implies that ΦS is equi-continuous.
Hence, by the Ascoli–Arzela theorem, we know that the operator Φ is compact, and so it is completely continuous. The proof is complete. □
According to Lemma 1 and Remark 1, from Lemma 3 and Lemma 4, we have the following theorem.
Theorem 1
Assume that \((H_{1})\)–\((H_{3})\) hold. Suppose further that there exist positive numbers \(\rho_{1_{R}},\rho_{1_{I}},\rho_{1_{J}}, \rho_{1_{K}},\ldots,\rho_{n_{R}},\rho_{n_{I}},\rho_{n_{J}},\rho_{n_{K}}\) such that inequality (7) holds, then system (1) has at least one ω-periodic solution.
Next, we will show the exponential stability of periodic solutions.
Theorem 2
Assume that \((H_{1})\)–\((H_{3})\) hold. Furthermore, assume the following.
- \((H_{4})\) :
-
Functions \(\tau_{pq}(t)\) are continuous differential functions and \(\dot{\tau}_{pq}<1\), where \(p,q=1,2,\ldots,n\).
- \((H_{5})\) :
-
There exists a positive constant \(\lambda>0\) satisfying
$$\max_{1\leq p\leq n} \Biggl\{ \lambda-a_{p}^{-}+\sum _{q=1}^{n} 16e^{\lambda \theta} \biggl( \frac{b_{qp}L_{f}}{1-\dot{\tau}_{qp}} + (\alpha_{qp}\eta_{qp}+ \beta_{qp}\xi_{qp} )L_{g} \biggr) \Biggr\} \leq0. $$
Then system (1) has a unique ω-periodic solution and it is globally exponentially stable.
Proof
From Theorem 1, we see that system (2) has an ω-periodic solution \(x(t)\). Suppose that the initial value of \(x(t)\) is \(\varphi(t)\). Let \(y(t)\) be an arbitrary solution of system (2) with the initial value \(\psi(t)\). Set \(z_{p}^{l}(t)=x_{p}^{l}(t)-y_{p}^{l}(t)\), by (2), for \(l=R, p=1,2,\ldots ,n\), we have
Repeating the above procession, for \(p= 1,2,\ldots,n,l = I,J,K\), we can obtain that
Define a Lyapunov function as follows:
where, for \(l\in\varUpsilon\),
Now we calculate the time derivative of \(V(t)\) along the trajectories of system (2), we get
From this and \((H_{5})\), we have
Hence, \(V(t)\leq V(t_{0})\) for \(t\geq t_{0}\). By the expression of \(V(t)\), we can obtain
and
Denote
Thus, we have
that is,
Therefore, the ω-periodic solution \(x(t)\) of system (2) is globally exponentially stable. In view of Remark 1, we see that the ω-periodic solution of system (1) is also globally exponentially stable. The uniqueness of the ω-periodic solution follows from the global exponential stability. The proof is complete. □
4 An illustrative example
In this section, an example is given to illustrate the effectiveness of our results obtained in this paper.
Example 1
Consider the following QVFCNN:
where
By computing, we have
Take \(\lambda=1\), then we have
and
Therefore, all the conditions of Theorem 2 are satisfied. According to Theorem 2, system (8) has a unique \(\frac{\pi}{20}\)-periodic solution and it is globally exponentially stable (see Figs. 1–3).
Remark 2
Even when QVFCNN (8) degenerates into a real-valued system, papers [23, 32, 45,46,47] cannot be used to judge that (8) has a globally exponentially stable periodic solution.
5 Conclusions
In this paper, by using the Schauder fixed point theorem and constructing a suitable Lyapunov function, we investigated the existence and global exponential stability of periodic solutions for QVFCNNs with time-varying delays. To the best of our knowledge, this is the first paper to study the periodic solutions of QVFCNNs. Our results are new and supplement some previously known ones even when system (1) degenerates into a real-valued system. Our methods used in this paper can be used to study other types of quaternion-valued neural networks such as Hopfield neural networks, BAM neural networks, Cohen–Grossberg neural networks, and so on.
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This work is supported by the National Natural Sciences Foundation of People’s Republic of China under Grant 11861072.
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Li, Y., Qin, J. & Li, B. Periodic solutions for quaternion-valued fuzzy cellular neural networks with time-varying delays. Adv Differ Equ 2019, 63 (2019). https://doi.org/10.1186/s13662-019-2008-5
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DOI: https://doi.org/10.1186/s13662-019-2008-5
Keywords
- Quaternion-valued fuzzy cellular neural networks
- Schauder fixed point theorem; Periodic solution
- Global exponential stability
- Time-varying delays