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Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Table of Content

    15 August 2022, Volume 39 Issue 4 Previous Issue   
    Research Progress and Future Prospect of Numerical Solutions of Fractional Model in Plasma Physics
    MEI Liquan, GUO Shimin
    2022, 39 (4):  511-521.  doi: 10.3969/j.issn.1005-3085.2022.04.001
    Abstract ( 57 )   PDF (213KB) ( 377 )   Save
    Over 99% of the baryonic matter in the universe is in the state of plasmas. Many phenomena observed in astrophysics and space physics are described by principles and laws of plasma. These phenomena include planetary formation, solar flares, star formation, solar and stellar winds, particle acceleration, black hole accretion and jet, Gamma ray bursts, supernova explosions, Galaxy formation and evolution, large-scale structure of the universe, etc. Compared with the integer order model, the fractional order equation can describe more precisely the historical dependence and long-range dependence of the hydrodynamic behavior based on the anomalous diffusion process in plasma. It is of great significance and prospect to apply the fractional order model to the field of plasma physics. The research status of the numerical solution of the fractional order model in plasma physics is reviewed, and the future development is also envisioned.
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    Stability of Stochastic Memristor-based Neural Networks
    WANG Fen
    2022, 39 (4):  522-532.  doi: 10.3969/j.issn.1005-3085.2022.04.002
    Abstract ( 55 )   PDF (219KB) ( 172 )   Save
    Compared with the traditional neural network, the memristor-based neural networks can better reflect the variable intensity of synapse, so it can better simulate the neural system of human brain. Under the framework of Filippov solution, the dynamical behavior of a class of stochastic memristor-based neural network is studied by employing appropriate Lyapunov functional, It$\hat{\rm o}$'s differential formula, theories of differential inclusions and set-valued maps. Several sufficient conditions are obtained for ensuring the system to be mean square exponential stability in this paper. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed results.
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    Application of Improved QPSO Algorithm in Self-financing Portfolio
    HE Guang, LU Xiaoli, LI Gaoxi
    2022, 39 (4):  533-544.  doi: 10.3969/j.issn.1005-3085.2022.04.003
    Abstract ( 50 )   PDF (222KB) ( 76 )   Save
    Aiming at the shortcomings of quantum-behaved particle swarm optimization (QPSO) algorithm, an improved quantum-behaved particle swarm optimization (HQPSO) algorithm based on L$\acute{\rm e}$vy flight strategy and hybrid probability distribution is proposed. In the algorithm design aspect, L$\acute{\rm e}$vy flight strategy is used to renew the iterative formula of particle position, which enhances the local convergence precision and global exploration capability of the algorithm. Besides, considering premature in the later stage of iteration, a hybrid probability distribution combining normal distribution and exponential distribution is introduced into potential well model, which helps algorithm escape local optima in time. Furthermore, the experimental results on 16 benchmark functions show that HQPSO has better convergence and robustness than several other algorithms. Finally, when solving self-financing portfolio model, HQPSO provides comparable and superior numerical results compared with differential evolution, particle swarm optimization algorithm and quantum behaved particle swarm optimization algorithm.
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    Study on the Volatility of Pork Price in China under the African Swine Fever Epidemic---Based on ARCH Family and BVAR Model
    SUN Dayan, CHEN Lei, BU Renmende
    2022, 39 (4):  545-558.  doi: 10.3969/j.issn.1005-3085.2022.04.004
    Abstract ( 52 )   PDF (584KB) ( 108 )   Save
    African swine fever, which began to be introduced to China in August 2018, has had a sustained impact on China's pork market, causing pork prices to rise sharply, breaking through the highest historical value. By selecting monthly data from January 2001 to March 2020, and using the ARCH family model, the clustering, high risk, high return and asymmetry of pork price fluctuations. By using Bayesian VAR model, impulse response and variance decomposed, the impact of corn price, per capita disposable income of town residents, the exchange rate of RMB against the US dollar and the pig epidemic index on pork prices are studied. The conclusion is that the pork price conditional variance has volatility ``cluster" phenomenon; pork price has the characteristics of high risk and high return; ``good news" can bring greater fluctuations than ``bad news". Corn prices and exchange rate levels have a strong positive effect on pork prices, disposable income has a weak positive effect on pork prices, and a pig epidemic has a strong negative effect on pork prices. From the largest to the smallest, the contribution rate to the fluctuation of pork price is itself, the exchange rate level, the disposable income level of urban residents, the corn price and the pig epidemic index. Finally, the corresponding solutions are proposed.
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    Adaptive Neural Network Control of the Permanent Magnet Synchronous Motor Servo System
    YU Yang, WU Feng, WANG Wei
    2022, 39 (4):  559-570.  doi: 10.3969/j.issn.1005-3085.2022.04.005
    Abstract ( 58 )   PDF (409KB) ( 59 )   Save
    A novel adaptive neural network control method is proposed for the permanent magnet synchronous motor position servo system considering parameter uncertainties and load torque disturbances. First, neural networks are utilized to construct the intelligent model of the permanent magnet synchronous motor. Then, on the basis of backstepping control design and applying the characteristic of neural network basis function, an adaptive neural network dynamic surface control algorithm for position tracking is designed, which can overcome the ``explosion of complexity" problem. Finally, simulation results are given to verify the effectiveness of the designed control scheme. Compared with the traditional backstepping control scheme, the position servo system based on the neural network dynamic surface control can converge faster. The algebraic loop problem is overcome by designing novel adaptive parameter laws of the neural network weights. In addition, the proposed control algorithm can overcome the influence of the uncertain factors on the system performance with simple structure and easy implementation.
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    Guaranteed Cost Control of Switched Time-varying Delay Systems under Asynchronous Switching
    LI Tongbin, GAO Juan
    2022, 39 (4):  571-588.  doi: 10.3969/j.issn.1005-3085.2022.04.006
    Abstract ( 42 )   PDF (246KB) ( 56 )   Save
    Switched system is an important hybrid system, which is composed of several subsystems and switching signals that determine the switching between subsystems. In engineering applications, there inevitably exists asynchronous switching between the system mode and the controller, i.e., asynchronous switching. The problem of guaranteed cost control of switched time-varying delay systems is investigated under asynchronous switching. A sufficient condition for the existence of the GCC law is derived by using the piecewise Lyapunov function approach and the average dwell time technique, which guarantees the exponential stability and a certain upper bound for the cost function of the closed-loop system. Then, the design problem of the GCC law is solved in terms of linear matrix inequalities, an asynchronous switching GCC controller is designed to make the system robust. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
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    Statistical Analysis of the New Coronavirus Pneumonia Cases Based on Lognormal Distribution
    ZHAO Yibin, ZHANG Yanfang, REN Qingqing
    2022, 39 (4):  589-598.  doi: 10.3969/j.issn.1005-3085.2022.04.007
    Abstract ( 60 )   PDF (1119KB) ( 87 )   Save
    The new coronavirus pneumonia data of Tianjin city is complete and data link is clear. Based on the data, the data characteristics of new coronavirus cases are studied by statistical analysis. The statistical characteristics of latent period are thoroughly explored by lognormal distribution model. The digital characteristics of lognormal distribution are obtained by maximum likelihood estimation. The mean of the latent period of the case is 12.6 days, and the standard deviation is about 6.1 days. The latent period of 95% patients was within 24 days. It can be obtained from the function of excess that the average latent period was about 30 days for patients with latent period more than 24 days. These results are reasonable explanations for the phenomenon of extra long latent period in some patients. At the same time, single factor analysis of variance showed that the virus had no relationship with age and gender, but was suspected to be related to the way of contact.
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    Stability and Bifurcation in a Stage-structured Epidemic Model with the Beverton-Holt Birth Function
    HU Xinli, ZHENG Tiantian, YANG Yali
    2022, 39 (4):  599-609.  doi: 10.3969/j.issn.1005-3085.2022.04.008
    Abstract ( 57 )   PDF (563KB) ( 94 )   Save
    An epidemic model with Beverton-Holt birth rate function and two stage-structure is established, vertical transmission is considered in the model, and the disease is only transmitted among adult individuals. The existence of equilibria of the model is analyzed, and the stability of equilibria of the model is obtained by constructing Lyapunov function, and the condition for the backward bifurcation of the model is determined. Finally, the analysis result is verified by numerical simulation.
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    The Error Bounds of the Linear Complementarity Problem with an $M$-matrix
    FANG Ximing
    2022, 39 (4):  610-620.  doi: 10.3969/j.issn.1005-3085.2022.04.009
    Abstract ( 53 )   PDF (240KB) ( 89 )   Save
    The error bounds of linear complementarity problems are studied. Firstly, the error bound theory of one kind of linear complementarity problems is presented by using a function of $M$-matrix whose main diagonal part is an identity matrix. Then, by transforming the model of linear complementarity problem, the error bound theory is generalized, and the error bound of linear complementarity problem whose system matrix is a general $M$-matrix is given. The error bound theory is verified and compared through low- and high-order examples. Numerical results show that the proposed error bound theory is effective and practical.
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    Some Properties of Weak Roman Graph and Weak Roman Domination in Graphs
    YANG Jian, LI Zhiqiang
    2022, 39 (4):  621-630.  doi: 10.3969/j.issn.1005-3085.2022.04.010
    Abstract ( 57 )   PDF (256KB) ( 59 )   Save
    Roman domination is a typical control problem with rich historical background and mathematical background, which is related to computer science, traffic safety supervision and control, enterprise safety production supervision and control, portfolio optimization, monitoring system and social network and other fields are closely related and have important theoretical significance and application value. The weak Roman domination number of graphs, denoted by $\gamma_{r}(G)$, is the minimum weight of a weak Roman dominating function in graphs. The domination number, denoted by $\gamma(G)$, is the minimum cardinality of a dominating set in $G$. We say that a graph $G$ is a weak Roman graph if $\gamma_{r}(G)=2\gamma(G)$. It is determined that the path $P_{3}$, stars $K_{1, t} (t\geq2)$ and trees $T$ which consist of the center vertices of stars $K_{1,t_{1}},K_{1, t_{2}},\cdots,K_{1, t_{n}}(t_{i}\geq3, i=1,2,\cdots,n)$ to form a path, or trees $T$ which made up of their outer vertices are weak Roman graph by means of construction, and some properties of weak Roman graphs and weak Roman dominating in graphs are given.
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    The Graft Transformations and Their Applications on the Least Signless Laplacian Eigenvalue of Graphs
    FENG Xiaoyun, CHEN Xu, WANG Guoping
    2022, 39 (4):  631-647.  doi: 10.3969/j.issn.1005-3085.2022.04.011
    Abstract ( 43 )   PDF (317KB) ( 74 )   Save
    Suppose that $G$ is a simple connected graph with the vertex set $V(G)=\{v_1,v_2,$ $\cdots,v_n\}$. Then the adjacency matrix of $G$ is $A(G)=(a_{ij})_{n\times n}$, where $a_{ij}=1$ if $v_i$ is adjacent to $v_j$, and otherwise $a_{ij}=0$. The degree matrix $D(G)={\rm diag}(d_{G}(v_1), d_{G}(v_2),\cdots,d_{G}(v_n))$, where $d_{G}(v_i)$ denotes the degree of $v_i$ in the graph $G(1\leq i\leq n)$. The matrix $Q(G)=D(G)+A(G)$ is the signless Laplacian matrix of $G$. Since $Q(G)$ is positive semidefinite, its eigenvalues can be arranged as $\lambda_1(G)\geq \lambda_2(G)\geq \cdots \geq \lambda_n(G)\geq 0$, where $\lambda_n(G)$ is the least signless Laplacian eigenvalue of $G$. The least signless Laplacian eigenvalues is investigated for the complements of graphs and the state of art of the relevant issues is summarized. By virtue of two graft transformations obtained by us, the unique connected graph is characterized, whose least signless Laplacian eigenvalue is minimum among the complements of all bicyclic graphs.
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    Existence of Nonoscillatory Solutions for Fractional Differential Equations with Distributed Delays
    ZHAO Huanhuan, LIU Youjun, KANG Shugui
    2022, 39 (4):  648-656.  doi: 10.3969/j.issn.1005-3085.2022.04.012
    Abstract ( 47 )   PDF (165KB) ( 114 )   Save
    A class of neutral fractional differential equations with  distributed delays and positive and negative coefficients are investigated. Using the Banach contraction mapping principle, by overcoming the operator construction and inequality scaling techniques, the sufficient conditions for the existence of bounded nonoscillatory solutions of the equations is obtained. Especially, the applicable range of these coefficients is extended to real numbers that are not equal to 1 and $-1$, the relevant results are verified by some examples.
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    Finite Element Method Based on a New Technique for the Nonlocal Diffusion Problem with Volume Constraints
    GE Zhihao, WU Huili
    2022, 39 (4):  657-664.  doi: 10.3969/j.issn.1005-3085.2022.04.013
    Abstract ( 44 )   PDF (373KB) ( 60 )   Save
    The nonlocal diffusion problem with volume constraints has been widely applied in many fields, such as fracture of composites, fracture of polycrystal, nanofiber networks, image analysis and financial engineering, the accuracy of the existing numerical methods, including the finite element method for the piecewise constant element, finite difference method, quadrature and particle methods are low. To obtain a high order numerical method, a high order finite element method is proposed for a 2D nonlocal diffusion problem with volume constraints, and the stiffness matrix of the numerical method is extracted from a new matrix $B$, which is easily computed. And the coding principle of the elements and the expression of code in the numerical calculation nodes are given. Also, the numerical example illustrates the convergent order of the new finite element method for 2D nonlocal diffusion problem with volume constraints. It is worth pointing out that it is not trivial to solve the 2D nonlocal diffusion problem with volume constraints.
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    Applications to Periodic and Almost Periodic State-dependent Delayed Differential Equations
    ZHOU Hui, WANG Wen
    2022, 39 (4):  665-671.  doi: 10.3969/j.issn.1005-3085.2022.04.014
    Abstract ( 46 )   PDF (147KB) ( 160 )   Save
    The periodic or almost periodic phenomena are commonly found in the natural world. And some real systems usually contain the effects of time delays, differential equations with delay depending on state forced by periodicity and almost periodicity are investigated, respectively. By Schauder's fixed point theorem, the criteria of the existence of periodic and almost periodic solutions to the equations are shown. Finally, two examples will be given to illustrate the effectiveness of the main results.
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    A Classical Generalized NLS-MKdV Hierarchy and Its Bi-Hamiltonian Structure with Self-consistent Sources
    DONG Fengjiao, HU Beibei
    2022, 39 (4):  672-680.  doi: 10.3969/j.issn.1005-3085.2022.04.015
    Abstract ( 45 )   PDF (159KB) ( 346 )   Save
    Starting from the matrix spectral problem, a class of generalized NLS-MKdV hierarchy and bi-Hamiltonian structures are discussed. Firstly, a generalized NLS-MKdV hierarchy is constructed based on the Loop Lie algebra sl $(2,{\bf R})$. Secondly, the bi-Hamilton structure representation of the generalized NLS-MKdV hierarchy is obtained by using the trace identity or variational identity. Furthermore, a class of generalized NLS-MKdV hierarchy with self-consistent sources is constructed. Finally, the conservation laws of the generalized NLS-MKdV hierarchy are studied by means of the Riccati equation.
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