Publisher: Vilnius University   (Total: 36 journals)   [Sort by number of followers]

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Accounting Theory and Practice     Open Access   (Followers: 3)
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Acta Orientalia Vilnensia     Open Access   (Followers: 1)
Acta Paedagogica Vilnensia     Open Access   (Followers: 1)
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Criminological Studies     Open Access   (Followers: 2)
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Kalbotyra     Open Access  
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Lietuvių kalba     Open Access  
Lietuvos istorijos studijos     Open Access  
Lietuvos Matematikos Rinkinys     Open Access   (Followers: 3)
Lietuvos Statistikos Darbai     Open Access   (Followers: 3)
Literatūra     Open Access  
Lithuanian Surgery : Lietuvos Chirurgija     Open Access  
Nonlinear Analysis : Modelling and Control     Open Access   (Followers: 1)
Organizations and Markets in Emerging Economies     Open Access   (Followers: 5)
Politologija     Open Access  
Problemos     Open Access  
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Scandinavistica Vilnensis     Open Access   (Followers: 3)
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Socialinė teorija, empirija, politika ir praktika     Open Access  
Sociology : Thought and Action     Open Access  
Teisė : Law     Open Access  
Verbum     Open Access  
Vertimo studijos (Translation Studies)     Open Access  
Vilnius University Open Series     Open Access   (Followers: 4)
Vilnius University Proceedings     Open Access   (Followers: 3)
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Nonlinear Analysis : Modelling and Control
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1392-5113 - ISSN (Online) 2335-8963
Published by Vilnius University Homepage  [36 journals]
  • Exponential state estimation for competitive neural network via stochastic
           sampled-data control with packet losses

    • Authors: Xin Sui, Yongqing Yang, Fei Wang
      Pages: 523– - 523–
      Abstract: This paper investigates the exponential state estimation problem for competitive neural networks via stochastic sampled-data control with packet losses. Based on this strategy, a switched system model is used to describe packet dropouts for the error system. In addition, transmittal delays between neurons are also considered. Instead of the continuous measurement, the sampled measurement is used to estimate the neuron states, and a sampled-data estimator with probabilistic sampling in two sampling periods is proposed. Then the estimator is designed in terms of the solution to a set of linear matrix inequalities (LMIs), which can be solved by using available software. When the missing of control packet occurs, some sufficient conditions are obtained to guarantee that the exponentially stable of the error system by means of constructing an appropriate Lyapunov function and using the average dwell-time technique. Finally, a numerical example is given to show the effectiveness of the proposed method.
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.17803
      Issue No: Vol. 25, No. 4 (2020)
  • Minimization of entropy generation due to MHD double diffusive mixed
           convection in a lid driven trapezoidal cavity with various aspect ratios

    • Authors: Priyajit Mondal, Tapas Ray Mahapatra
      Pages: 545– - 545–
      Abstract: Entropy generation minimization has significant importance in fluid flow, heat and mass transfer in an enclosure to get the maximum efficiency of a system and to reduce the loss of energy. In the present study, the analysis of mixed convection fluid flow, heat and mass transfer with heat line and mass line concept and entropy generation due to the effects of fluid flow, heat flow, mass flow and magnetic field in a trapezoidal enclosure with linearly heated and diffusive left wall, uniformly heated and diffusive lower wall, cold and nondiffusive right wall, adiabatic and zero diffusion gradient top wall have been reported. Parametric studies for the wide range of Prandtl number (Pr = 0.7 for air cooling system and Pr = 1000 for the engines filled with olive or engine oils), Rayleigh number (Ra = 103–105), aspect ratio (A = 0.5–1.5) and inclination angle of the cavity (ϕ = 45°–90°) have been performed, which help to construct the perfect shape of cavity in many engineering and physical applications so that the entropy is minimum to get the maximum efficiency of any system. The finite-difference approximation has been used to find out the numerical solutions. Biconjugate Gradient Stabilized (BiCGStab) method is used to solve the discretized nonhomogeneous system of linear equations.
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.16774
      Issue No: Vol. 25, No. 4 (2020)
  • Persistence of nonautonomous logistic system with time-varying delays and
           impulsive perturbations

    • Authors: Dan Yang, Xiaodi Li, Zhongmin Liu, Jinde Cao
      Pages: 564– - 564–
      Abstract: In this paper, we develop the impulsive control theory to nonautonomous logistic system with time-varying delays. Some sufficient conditions ensuring the persistence of nonautonomous logistic system with time-varying delays and impulsive perturbations are derived. It is shown that the persistence of the considered system is heavily dependent on the impulsive perturbations. The proposed method of this paper is completely new. Two examples and the simulations are given to illustrate the proposed method and results.
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.18384
      Issue No: Vol. 25, No. 4 (2020)
  • Some new fixed point results in rectangular metric spaces with an
           application to fractional-order functional differential equations

    • Authors: Lokesh Budhia, Hassen Aydi, Arslan Hojat Ansari, Dhananjay Gopal
      Pages: 580– - 580–
      Abstract: In this paper, we establish some new fixed point theorems for generalized ϕ–ψ-contractive mappings satisfying an admissibility-type condition in a Hausdorff rectangular metric space with the help of C-functions. In this process, we rectify the proof of Theorem 3.2 due to Budhia et al. [New fixed point results in rectangular metric space and application to fractional calculus, Tbil. Math. J., 10(1):91–104, 2017]. Some examples are given to illustrate the theorems. Finally, we apply our result (Corollary 3.6) to establish the existence of a solution for an initial value problem of a fractional-order functional differential equation with infinite delay. 
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.17928
      Issue No: Vol. 25, No. 4 (2020)
  • New extended generalized Kudryashov method for solving three nonlinear
           partial differential equations

    • Authors: Elsayed M.E. Zayed, Reham M.A. Shohib, Mohamed E.M. Alngar
      Pages: 598– - 598–
      Abstract: New extended generalized Kudryashov method is proposed in this paper for the first time. Many solitons and other solutions of three nonlinear partial differential equations (PDEs), namely, the (1+1)-dimensional improved perturbed nonlinear Schrödinger equation with anti-cubic nonlinearity, the (2+1)-dimensional Davey–Sterwatson (DS) equation and the (3+1)-dimensional modified Zakharov–Kuznetsov (mZK) equation of ion-acoustic waves in a magnetized plasma have been presented. Comparing our new results with the well-known results are given. Our results in this article emphasize that the used method gives a vast applicability for handling other nonlinear partial differential equations in mathematical physics.
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.17203
      Issue No: Vol. 25, No. 4 (2020)
  • Solvability of fractional dynamic systems utilizing measure of

    • Authors: Hemant Kumar Nashine, Rabha W. Ibrahim, Reza Arab, Mohsen Rabbani
      Pages: 618– - 618–
      Abstract: Fractional dynamics is a scope of study in science considering the action of systems. These systems are designated by utilizing derivatives of arbitrary orders. In this effort, we discuss the sufficient conditions for the existence of the mild solution (m-solution) of a class of fractional dynamic systems (FDS). We deal with a new family of fractional m-solution in Rn for fractional dynamic systems. To accomplish it, we introduce first the concept of (F, ψ)-contraction based on the measure of noncompactness in some Banach spaces. Consequently, we establish requisite fixed point theorems (FPTs), which extend existing results following the Krasnoselskii FPT and coupled fixed point results as a outcomes of derived one. Finally, we give a numerical example to verify the considered FDS, and we solve it by iterative algorithm constructed by semianalytic method with high accuracy. The solution can be considered as bacterial growth system when the time interval is large. 
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.17896
      Issue No: Vol. 25, No. 4 (2020)
  • Turing instability and spatially homogeneous Hopf bifurcation in a
           diffusive Brusselator system

    • Authors: Xiang-Ping Yan, Pan Zhang, Cun-Huz Zhang
      Pages: 638– - 638–
      Abstract: The present paper deals with a reaction–diffusion Brusselator system subject to the homogeneous Neumann boundary condition. When the effect of spatial diffusion is neglected, the local asymptotic stability and the detailed Hopf bifurcation of the unique positive equilibrium of the associated ODE system are analyzed. In the stable domain of the ODE system, the effect of spatial diffusion is explored, and local asymptotic stability, Turing instability and existence of Hopf bifurcation of the constant positive equilibrium are demonstrated. In addition, the direction of spatially homogeneous Hopf bifurcation and the stability of the spatially homogeneous bifurcating periodic solutions are also investigated. Finally, numerical simulations are also provided to check the obtained theoretical results.
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.17437
      Issue No: Vol. 25, No. 4 (2020)
  • Controllability of conformable differential systems

    • Authors: Xiaowen Wang, JinRong Wang, Michal Fečkan
      Pages: 658– - 658–
      Abstract: This paper deals with complete controllability of systems governed by linear and semilinear conformable differential equations. By establishing conformable Gram criterion and rank criterion, we give sufficient and necessary conditions to examine that a linear conformable system is null completely controllable. Further, we apply Krasnoselskii’s fixed point theorem to derive a completely controllability result for a semilinear conformable system. Finally, three numerical examples are given to illustrate our theoretical results.  
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.18135
      Issue No: Vol. 25, No. 4 (2020)
  • Approximations for sums of three-valued 1-dependent symmetric random

    • Authors: Gabija Liaudanskaitė, Vydas Čekanavičius
      Pages: 675– - 675–
      Abstract: The sum of symmetric three-point 1-dependent nonidentically distributed random variables is approximated by a compound Poisson distribution. The accuracy of approximation is estimated in the local and total variation norms. For distributions uniformly bounded from zero,
      the accuracy of approximation is of the order O(n–1). In the general case of triangular arrays of identically distributed summands, the accuracy is at least of the order O(n–1/2). Nonuniform estimates are obtained for distribution functions and probabilities. The characteristic function
      method is used.  
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.16843
      Issue No: Vol. 25, No. 4 (2020)
  • Electroencephalogram spike detection and classification by diagnosis with
           convolutional neural network

    • Authors: Andrius Vytautas Misiukas Misiūnas, Valdas Rapševičius, Rūta Samaitienė, Tadas Meškauskas
      Pages: 692– - 692–
      Abstract: This work presents convolutional neural network (CNN) based methodology for electroencephalogram (EEG) classification by diagnosis: benign childhood epilepsy with centrotemporal spikes (rolandic epilepsy) (Group I) and structural focal epilepsy (Group II). Manual classification of these groups is sometimes difficult, especially, when no clinical record is available, thus presenting a need for an algorithm for automatic classification. The presented algorithm has the following steps: (i) EEG spike detection by morphological filter based algorithm; (ii) classification of EEG spikes using preprocessed EEG signal data from all channels in the vicinity of the spike detected; (iii) majority rule classifier application to all EEG spikes from a single patient. Classification based on majority rule allows us to achieve 80% average accuracy (despite the fact that from a single spike one would obtain only 58% accuracy). 
      PubDate: 2020-07-01
      DOI: 10.15388/namc.2020.25.18016
      Issue No: Vol. 25, No. 4 (2020)
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