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Fractal Fract, Volume 4, Issue 1 (March 2020) – 9 articles

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Open AccessArticle
Homotopy Analysis Method to Solve Two-Dimensional Nonlinear Volterra-Fredholm Fuzzy Integral Equations
Fractal Fract 2020, 4(1), 9; https://doi.org/10.3390/fractalfract4010009 - 18 Mar 2020
Viewed by 230
Abstract
The main goal of the paper is to present an approximate method for solving of a two-dimensional nonlinear Volterra-Fredholm fuzzy integral equation (2D-NVFFIE). It is applied the homotopy analysis method (HAM). The studied equation is converted to a nonlinear system of Volterra-Fredholm integral [...] Read more.
The main goal of the paper is to present an approximate method for solving of a two-dimensional nonlinear Volterra-Fredholm fuzzy integral equation (2D-NVFFIE). It is applied the homotopy analysis method (HAM). The studied equation is converted to a nonlinear system of Volterra-Fredholm integral equations in a crisp case. Approximate solutions of this system are obtained by the help with HAM and hence an approximation for the fuzzy solution of the nonlinear Volterra-Fredholm fuzzy integral equation is presented. The convergence of the proposed method is proved and the error estimate between the exact and the approximate solution is obtained. The validity and applicability of the proposed method is illustrated on a numerical example. Full article
Open AccessArticle
Admissibility of Fractional Order Descriptor Systems Based on Complex Variables: An LMI Approach
Fractal Fract 2020, 4(1), 8; https://doi.org/10.3390/fractalfract4010008 - 16 Mar 2020
Viewed by 309
Abstract
This paper is devoted to the admissibility issue of singular fractional order systems with order α(0,1) based on complex variables. Firstly, with regard to admissibility, necessary and sufficient conditions are obtained by strict LMI in complex plane. [...] Read more.
This paper is devoted to the admissibility issue of singular fractional order systems with order α ( 0 , 1 ) based on complex variables. Firstly, with regard to admissibility, necessary and sufficient conditions are obtained by strict LMI in complex plane. Then, an observer-based controller is designed to ensure system admissible. Finally, numerical examples are given to reveal the validity of the theoretical conclusions. Full article
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Open AccessArticle
Kamenev-Type Asymptotic Criterion of Fourth-Order Delay Differential Equation
Fractal Fract 2020, 4(1), 7; https://doi.org/10.3390/fractalfract4010007 - 10 Mar 2020
Cited by 2 | Viewed by 245
Abstract
In this paper, we obtain necessary and sufficient conditions for a Kamenev-type oscillation criterion of a fourth order differential equation of the form r3tr2tr1tyt+qtfy [...] Read more.
In this paper, we obtain necessary and sufficient conditions for a Kamenev-type oscillation criterion of a fourth order differential equation of the form r 3 t r 2 t r 1 t y t + q t f y σ t = 0 , where t t 0 . The results presented here complement some of the known results reported in the literature. Moreover, the importance of the obtained conditions is illustrated via some examples. Full article
Open AccessArticle
Fractal Dimensions of Cell Wall in Growing Cotton Fibers
Fractal Fract 2020, 4(1), 6; https://doi.org/10.3390/fractalfract4010006 - 09 Mar 2020
Viewed by 246
Abstract
In this research, fractal properties of a cell wall in growing cotton fibers were studied. It was found that dependences of specific pore volume (P) and apparent density (ρ) on the scale factor, F = H/h, can be expressed by power-law equations: P [...] Read more.
In this research, fractal properties of a cell wall in growing cotton fibers were studied. It was found that dependences of specific pore volume (P) and apparent density (ρ) on the scale factor, F = H/h, can be expressed by power-law equations: P = Po F(Dv−E) and ρ = ρo F(E−Dρ), where h is minimum thickness of the microfibrilar network in the primary cell wall, H is total thickness of cell wall in growing cotton, Dv = 2.556 and Dρ = 2.988 are fractal dimensions. From the obtained results it follows that microfibrilar network of the primary cell wall in immature fibers is loose and disordered, and therefore it has an increased pore volume (Po = 0.037 cm3/g) and low density (ρo = 1.47 g/cm3). With enhance days post anthesis of growing cotton fibers, the wall thickness and density increase, while the pore volume decreases, until dense structure of completely mature fibers is formed with maximum density (1.54 g/cm3) and minimum pore volume (0.006 cm3/g). The fractal dimension for specific pore volume, Dv = 2.556, evidences the mixed surface-volume sorption mechanism of sorbate vapor in the pores. On the other hand, the fractal dimension for apparent density, Dρ = 2.988, is very close to Euclidean volume dimension, E = 3, for the three-dimensional space. Full article
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Open AccessArticle
Non-Differentiable Solution of Nonlinear Biological Population Model on Cantor Sets
Fractal Fract 2020, 4(1), 5; https://doi.org/10.3390/fractalfract4010005 - 09 Feb 2020
Viewed by 349
Abstract
The main objective of this study is to apply the local fractional homotopy analysis method (LFHAM) to obtain the non-differentiable solution of two nonlinear partial differential equations of the biological population model on Cantor sets. The derivative operator are taken in the local [...] Read more.
The main objective of this study is to apply the local fractional homotopy analysis method (LFHAM) to obtain the non-differentiable solution of two nonlinear partial differential equations of the biological population model on Cantor sets. The derivative operator are taken in the local fractional sense. Two examples have been presented showing the effectiveness of this method in solving this model on Cantor sets. Full article
(This article belongs to the Special Issue 2019 Selected Papers from Fractal Fract’s Editorial Board Members)
Open AccessEditorial
Acknowledgement to Reviewers of Fractal Fract in 2019
Fractal Fract 2020, 4(1), 4; https://doi.org/10.3390/fractalfract4010004 - 23 Jan 2020
Viewed by 291
Abstract
The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not [...] Full article
Open AccessReview
Fractal Antennas: An Historical Perspective
Fractal Fract 2020, 4(1), 3; https://doi.org/10.3390/fractalfract4010003 - 19 Jan 2020
Cited by 1 | Viewed by 450
Abstract
Fractal geometry has been proven to be useful in several disciplines. In the field of antenna engineering, fractal geometry is useful to design small and multiband antenna and arrays, and high-directive elements. A historic overview of the most significant fractal mathematic pioneers is [...] Read more.
Fractal geometry has been proven to be useful in several disciplines. In the field of antenna engineering, fractal geometry is useful to design small and multiband antenna and arrays, and high-directive elements. A historic overview of the most significant fractal mathematic pioneers is presented, at the same time showing how the fractal patterns inspired engineers to design antennas. Full article
(This article belongs to the Special Issue Fractals in Antenna and Microwave Engineering 2019)
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Open AccessArticle
Parametric Identification of Nonlinear Fractional Hammerstein Models
Fractal Fract 2020, 4(1), 2; https://doi.org/10.3390/fractalfract4010002 - 30 Dec 2019
Viewed by 417
Abstract
In this paper, a system identification method for continuous fractional-order Hammerstein models is proposed. A block structured nonlinear system constituting a static nonlinear block followed by a fractional-order linear dynamic system is considered. The fractional differential operator is represented through the generalized operational [...] Read more.
In this paper, a system identification method for continuous fractional-order Hammerstein models is proposed. A block structured nonlinear system constituting a static nonlinear block followed by a fractional-order linear dynamic system is considered. The fractional differential operator is represented through the generalized operational matrix of block pulse functions to reduce computational complexity. A special test signal is developed to isolate the identification of the nonlinear static function from that of the fractional-order linear dynamic system. The merit of the proposed technique is indicated by concurrent identification of the fractional order with linear system coefficients, algebraic representation of the immeasurable nonlinear static function output, and permitting use of non-iterative procedures for identification of the nonlinearity. The efficacy of the proposed method is exhibited through simulation at various signal-to-noise ratios. Full article
(This article belongs to the Special Issue The Craft of Fractional Modelling in Science and Engineering III)
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Open AccessArticle
Power Law Type Long Memory Behaviors Modeled with Distributed Time Delay Systems
Fractal Fract 2020, 4(1), 1; https://doi.org/10.3390/fractalfract4010001 - 27 Dec 2019
Cited by 2 | Viewed by 394
Abstract
This paper studies a class of distributed time delay systems that exhibit power law type long memory behaviors. Such dynamical behaviors are present in multiple domains and it is therefore essential to have tools to model them. The literature is full of examples [...] Read more.
This paper studies a class of distributed time delay systems that exhibit power law type long memory behaviors. Such dynamical behaviors are present in multiple domains and it is therefore essential to have tools to model them. The literature is full of examples in which these behaviors are modeled by means of fractional models. However, several limitations of fractional models have recently been reported and other solutions must be found. In the literature, the analysis of distributed delay models and integro-differential equations in general is older than that of fractional models. In this paper, it is shown that particular delay distributions and conditions on the model coefficients make it possible to obtain power laws. The class of systems considered is then used to model the input-output behavior of a lithium-ion cell. Full article
(This article belongs to the Special Issue 2019 Selected Papers from Fractal Fract’s Editorial Board Members)
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