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Heat and mass transport of an advection-diffusion viscous fluid past a magnetized multi-physical curved stretching sheet with chemical reaction Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-03-03 K. M. Sanni, Afis Saliu, S. Asghar
Analysis of 2D magnetohydrodynamic flow of viscous fluid over a magnetized multi-physical curved mechanism is numerically conducted. The flow equations consist of a magnetic field transport, Maxwel...
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An iterative approach for deriving and solving an accurate regression equation Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-03-03 Manaye Getu Tsige, Andreas Malcherek, Ivo Baselt
This paper introduces a method for deriving an accurate regression equation based on a set of any paired data, and a technique for solving the equation. For a practical example, we used five hundre...
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Driving torque model of the bionic soft arm’s hyperelastic bellows Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-02-18 Samuel Pilch, Daniel Klug, Oliver Sawodny
The technology of soft continuum robots represents an advance in the field of robotics to benefit a wide range of industries such as healthcare, manufacturing or environmental exploration. Soft con...
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I-SFI model of propagation dynamic based on user’s interest intensity and considering birth and death rate Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-02-18 Fulian Yin, Jieling Wu, Jingyang Xu, Yuwei She, Jianhong Wu
Everyone has a different level of interest in a trending topic posted on social media, which may affect user’s behaviour. In order to find out the way it affects the process of information transmis...
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Structural stability of the hepatitis C model with the proliferation of infected and uninfected hepatocytes Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-02-04 Z. Navickas, R. Marcinkevicius, I. Telksniene, T. Telksnys, M. Ragulskis
The structural stability of the hepatitis C model with the proliferation of infected and uninfected hepatocytes is investigated in this paper. The model is clinically verified to accurately reflect...
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Transcritical bifurcation and Neimark-Sacker bifurcation of a discrete predator-prey model with herd behaviour and square root functional response Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-01-22 Danyang Li, Xianyi Li
In this paper, a discrete predator-prey model incorporating herd behaviour and square root response function is deduced from its continuous version by the semi-discretization method. Firstly, the e...
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Probabilistic degenerate Stirling polynomials of the second kind and their applications Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-01-15 Taekyun Kim, Dae San Kim, Jongkyum Kwon
The aim of this paper is to further study probabilistic versions of the degenerate Stirling polynomials of the second kind, namely the probabilistic degenerate Stirling polynomials of the second ki...
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Some novel inequalities for Caputo Fabrizio fractional integrals involving ( α , s ) -convex functions with applications Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2024-01-09 Asfand Fahad, Ammara Nosheen, Khuram Ali Khan, Maria Tariq, Rostin Matendo Mabela, Ahmed S.M. Alzaidi
Fractional calculus is extremely important and should not be undervalued due to its critical role in the theory of inequalities. In this article, different generalized Hermite-Hadamard type inequal...
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Lerch-harmonic numbers related to Lerch transcendent Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-12-12 Taekyun Kim, Dae San Kim, Jongkyum Kwon, Hyunseok Lee
Harmonic numbers and generalized harmonic numbers have been studied in connection with combinatorial problems, many expressions involving special functions in analytic number theory and analysis of...
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Quadratic upwind differencing scheme in the finite volume method for solving the convection-diffusion equation Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-11-27 Minilik Ayalew, Mulualem Aychluh, Daya Lal Suthar, Sunil Dutt Purohit
Due to the high importance of the convection-diffusion equation, we aim to develop a quadratic upwind differencing scheme in the finite volume approach for solving this equation. Our newly develope...
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Modeling and analysis of thin film flow of Fuzzified Johnson Segalman nanofluid using fuzzy extension of He-Laplace scheme Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-12-01 Mubashir Qayyum, Aneeza Tahir, Abdul Bariq, Ali Akgül, Syed Tauseef Saeed
The concept of fuzzy calculus in fluid modelling offers a feasible approach to address ambiguity and uncertainty in physical phenomena. This study aims to model and analyse thin film flow of Johnso...
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A stochastic model of antibiotic misuse, economy, and drug resistance: relating mutant extinction probability to socioeconomic and epidemiological factors Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-08-31 Bhawna Malik, Samit Bhattacharyya
ABSTRACT Controlling antibiotic drug resistance requires understanding extinction and emergence mechanisms of emerging bacteria. Selective pressure from prolonged antibiotic misuse may cause high-level antimicrobial resistance. Self-medication and other socioeconomic factors reduce antibiotic use, accelerating the emergence and extinction of resistant pathogens through stochastic fluctuation. This
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A Rosenbrock framework for tangential interpolation of port-Hamiltonian descriptor systems Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-08-20 Tim Moser, Boris Lohmann
ABSTRACT We present a new structure-preserving model order reduction (MOR) framework for large-scale port-Hamiltonian descriptor systems (pH-DAEs). Our method exploits the structural properties of the Rosenbrock system matrix for this system class and utilizes condensed forms which often arise in applications and reveal the solution behaviour of a system. Provided that the original system has such
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Computational modelling of airflow in distal airways using hybrid lung model Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-08-10 Olusegun J. Ilegbusi, Adnan Islam, Anand P. Santhanam
ABSTRACT A major challenge in computational fluid dynamics (CFD) modelling of the human respiratory system is allowing for the variation of geometric scale. A methodology is proposed that enables CFD analysis from the middle through the distal airways to the alveolar level. The methodology relies on a hybrid lung geometry integrating a primary tracheobronchial tree (TBT) up to the fifth generation
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Updated Editorial Team and Thanks to Retiring Board Members Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-08-08 Serkan Araci, Wolfgang Kemmetmüller
Published in Mathematical and Computer Modelling of Dynamical Systems: Methods, Tools and Applications in Engineering and Related Sciences (Vol. 29, No. 1, 2023)
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Generalized logistic model of bacterial growth Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-07-31 Anna Lo Grasso, Ada Fort, Fariba Fahmideh Mahdizadeh, Agnese Magnani, Chiara Mocenni
ABSTRACT This work proposes a new mathematical model describing the dynamics of growing bacterial cultures. The model, described by a first order non-linear differential equation, as a generalization of the logistic equation, was compared with the most studied mathematical models. All models were numerically implemented and fitted to the experimental data, collected from the incubation of a bacterial
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Numerical investigation for influence of powered effect on aerodynamic performance of BWB takeoff configuration Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-06-18 Gang Yu, Dong Li, Yuling Duan
ABSTRACT The influence of the powered effect on the aerodynamic performance of the blended-wing-body (BWB) takeoff configuration is analysed in this study by solving the three-dimensional Reynolds-averaged Navier–Stokes equation on a multiblock structured grid. The powered effect on the aerodynamic performance of the BWB300 configuration was investigated with through-flow nacelle (TFN) and powered
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Port-Hamiltonian fluid–structure interaction modelling and structure-preserving model order reduction of a classical guitar Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-05-27 Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Alexander Brauchler, Pascal Ziegler, Jörg Fehr, Bernard Haasdonk
ABSTRACT A fluid–structure interaction model in a port-Hamiltonian representation is derived for a classical guitar. After discretization, we combine the laws of continuum mechanics for solids and fluids within a unified port-Hamiltonian (pH) modelling approach by adapting the equations through an appropriate coordinate transformation on the second-order level. The high-dimensionality of the resulting
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Towards real-time fluid dynamics simulation: a data-driven NN-MPS method and its implementation Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-03-06 Qinghe Yao, Zhuolin Wang, Yi Zhang, Zijie Li, Junyang Jiang
ABSTRACT In this work, we construct a data-driven model to address the computing performance problem of the moving particle semi-implicit method by combining the physics intuition of the method with a machine-learning algorithm. A fully connected artificial neural network is implemented to solve the pressure Poisson equation, which is reformulated as a regression problem. We design context-based feature
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Mathematical modelling of an electrostatic oiling machine for steel strips Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-02-25 Julian Landauer, Andreas Kugi, Andreas Steinböck
ABSTRACT This paper deals with the mathematical modelling of the electrostatic spraying process in an industrial electrostatic oiling machine (EOM) for steel strips. Measurements from an industrial EOM show that the thickness and inhomogeneity of the oil film on the strips frequently exceed specified tolerance limits whereby the reasons were previously unknown. A numerical model of the spraying process
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Modelling and calibration of a five link elastic boom of a mobile concrete pump Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-02-22 M. Meiringer, A. Kugi, W. Kemmetmüller
ABSTRACT Large-scale manipulators, such as the boom of a mobile concrete pump, typically rely on lightweight construction to maximize their operational range. As a result, significant elastic deformations occur during operation. Various automation and control applications require computationally fast and accurate mathematical models of the manipulator’s motion. In this work, a mathematical model for
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Modelling and real-time dynamic simulation of flexible needles for prostate biopsy and brachytherapy Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2023-01-30 Athanasios Martsopoulos, Thomas L. Hill, Rajendra Persad, Stefanos Bolomytis, Antonia Tzemanaki
ABSTRACT Percutaneous needle insertion constitutes a widely adopted technique for performing minimally invasive operations. Robot-assisted needle placement and virtual surgical training platforms have the potential to significantly improve the accuracy of these operations. For this, the development of mathematical models that provide a complete characterization of the underlying dynamics of medical
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An experimentally-verified approach for enhancing fluid drag force simulation in vertical oilwell drill strings Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-11-12 Mihiran Galagedarage Don, Geoff Rideout
ABSTRACT The oilwell drilling fluid flows cause viscous and hydrodynamic forces on drill strings. This effect is ignored or treated as a constant in most drill string models. The present study introduces mathematical models for lateral vibration damping and axial drag forces that are employable in lumped segment drill string models. First, the variables to which drilling fluid-generated forces are
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Modelling of a hydraulic system coupled with lumped masses Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-07-07 Paul Treml, Gudrun Mikota, Bernhard Manhartsgruber, Andreas Brandl
ABSTRACT A coupled hydraulic-mechanical system with a lumped parametric mechanical part has been set up, measured and mathematically modelled in the frequency domain. The main focus of this article is the identification of unknown system parameters, which depends on the models of coupling and dissipation. The set-up under investigation can be excited hydraulically, by flow rate, or mechanically, by
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Cycle-by-Cycle Combustion Optimisation: Calibration of Data-based Models and Improvements of Computational Efficiency Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-07-05 Thomas Makowicki, Matthias Bitzer, Knut Graichen
ABSTRACT Modern combustion engines require an efficient cycle-by-cycle fuel injection control scheme to optimise the single combustion events during transient operation. The online optimisation of the respective control inputs typically needs accurate while sufficiently simple models of the combustion quantities. Based on a recently presented cycle-by-cycle optimisation scheme with a hybrid model,
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Determination of 3D near fault seismic behaviour of Oroville earth fill dam using burger material model and free field-quiet boundary conditions Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-02-27 Memduh Karalar, Murat Cavuslu
ABSTRACT In this study, the three-dimensional (3D) near-fault earthquake performance of the Oroville dam is examined considering a special material model and various seismic boundary conditions. The 3D finite-difference model of the Oroville EF dam is modeled using the finite difference method. Burger Creep (BC) material model is utilized for the foundation and dam body materials. Special interface
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A port-Hamiltonian formulation of coupled heat transfer Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-02-27 Jens Jäschke, Matthias Ehrhardt, Michael Günther, Birgit Jacob
ABSTRACT Heat transfer and cooling solutions play an important role in the design of gas turbine blades. However, the underlying mathematical coupling structures have not been thoroughly investigated. In this work, the port-Hamiltonian formalism is applied to the conjugate heat transfer problem in gas turbine blades. A mathematical model based on common engineering simplifications is constructed and
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Can we replicate real human behaviour using artificial neural networks? Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-02-27 Georg Jäger, Daniel Reisinger
ABSTRACT Agent-based modelling is a powerful tool when simulating human systems, yet when human behaviour cannot be described by simple rules or maximizing one’s own profit, we quickly reach the limits of this methodology. Machine learning has the potential to bridge this gap by providing a link between what people observe and how they act in order to reach their goal. In this paper we use a framework
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Modelling health impacts of hepatitis – model selection and treatment plans Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-02-08 Cordula Reisch
ABSTRACT Hepatitis B and C are viruses causing liver infections and resulting in grave secondary diseases. While there are different treatments for chronic liver infections, the process of evolving chronic diseases is still not fully understood. This paper presents an economic-inspired model for the overall health of an infected organism. The health model is based on the results of a reaction diffusion
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Autonomous navigation of ships by combining optimal trajectory planning with informed graph search Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2022-02-03 Luis Lüttgens, Benjamin Jurgelucks, Heinrich Wernsing, Sylvain Roy, Christof Büskens, Kathrin Flaßkamp
ABSTRACT Autonomous trajectory generation plays an essential role in the navigation of vehicles in space as well as in terrestrial scenarios, i.e. in the air, on solid ground, or water. For the latter, the navigation of ships in ports has specific challenges since ship dynamics are highly nonlinear with limited agility, while the manoeuvre space in ports is limited. Nevertheless, for providing support
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Physically motivated structuring and optimization of neural networks for multi-physics modelling of solid oxide fuel cells Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-11-09 Andreas Rauh, Julia Kersten, Wiebke Frenkel, Niklas Kruse, Tom Schmidt
ABSTRACT Neural network models for complex dynamical systems typically do not explicitly account for structural engineering insight and mutual interrelations of various subprocesses that are related to the multi-physics nature of such systems. For that reason, they are commonly interpreted as a kind of data-driven, black box modelling option that is in opposition to a physically inspired equation-based
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Energy simulation and variable analysis of refining process in thermo-mechanical pulp mill using machine learning approach Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-10-22 B. Talebjedi, T. Laukkanen, H. Holmberg, E. Vakkilainen, S. Syri
ABSTRACT Data from two thermo-mechanical pulp mills are collected to simulate the refining process using deep learning. A multilayer perceptron neural network is utilized for pattern recognition of the refining variables. Results show the impressive capability of artificial intelligence methods in refining energy simulation so that the correlation coefficient of 98% is accessible. A comprehensive parametric
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Exergetic port-Hamiltonian systems: modelling basics Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-10-21 Markus Lohmayer, Paul Kotyczka, Sigrid Leyendecker
ABSTRACT Port-Hamiltonian systems theory provides a structured approach to modelling, optimization and control of multiphysical systems. Yet, its relationship to thermodynamics seems to be unclear. The Hamiltonian is traditionally thought of as energy, although its meaning is exergy. This insight yields benefits: 1. Links to the GENERIC structure are identified, making it relatively easy to borrow
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Modelling and dynamic behaviour analysis of the software rejuvenation system with periodic impulse Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-10-21 Huixia Huo, Houbao Xu, Zhuoqian Chen
ABSTRACT Software rejuvenation is a policy to counter the phenomenon of software ageing. However, how to implement software rejuvenation is still an important issue. In this paper, periodic impulse control is proposed as an effective tool to perform software rejuvenation and improve the availability of software system. First, we formulate the software rejuvenation system with periodic impulse by a
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Emotion-involved human decision-making model Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-10-22 Kaede Iinuma, Kiminao Kogiso
ABSTRACT This study proposes a computational human decision-making model that handles emotion-induced behaviour. The proposed model can determine a rational or irrational action according to a probability distribution obtained by mixing an optimal policy of a partially observable Markov decision process and an evolved probability distribution by novel dynamics of emotions. Emotion dynamics with consecutive
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Physical modelling and computer simulation of the cardiorespiratory system based on the use of a combined electrical analogy Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-10-21 J. Fernandez de Canete, D. Cuesta, A. Luque, J. Barbancho
ABSTRACT Modelling the human cardiorespiratory system using computer simulation tools can serve to help physicians to comprehend the causes and development of cardiorespiratory diseases. The objective of this paper is to develop an integrated model of the cardiovascular and respiratory systems, along with their intrinsic control mechanisms, by combining analogous hydraulic-electric and diffusion-electric circuits
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Port-Hamiltonian formulations of poroelastic network models Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-10-20 R. Altmann, V. Mehrmann, B. Unger
ABSTRACT We investigate an energy-based formulation of the two-field poroelasticity model and the related multiple-network model as they appear in geosciences or medical applications. We propose a port-Hamiltonian formulation of the system equations, which is beneficial for preserving important system properties after discretization or model-order reduction. For this, we include the commonly omitted
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Mathematical Modelling of Non-Linear Transient Long Waves by using Finite Element Method in an Irregular Shaped Harbour Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-09-07
ABSTRACT Extreme waves significantly affect the coastal structures, activities, and population. Therefore, investigation of extreme wave impact on coastal regions is essential. In this study, a mathematical model is presented to analyse the impact of transient long waves on coastal structures. The mathematical model is constructed based on the Boussinesq equation (BE) with variable water depth including
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Correction Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-08-06
(2021). Correction. Mathematical and Computer Modelling of Dynamical Systems: Vol. 27, No. 1, pp. 405-410.
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RoboWalk: augmented human-robot mathematical modelling for design optimization Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-08-05
ABSTRACT Utilizing exoskeleton devices to help elderly or empower workers is a growing field of research in robotics. The structure of an exoskeleton can vary depending on user’s physical dimensions, joints or muscles targeted for assistance, and maximum achievable actuator torque. In this research, a Human-Model-In-the-Loop (HMIL) constrained optimization technique is proposed to design the RoboWalk
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Flexible multibody system modelling of an aerial rescue ladder using Lagrange’s equations Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-08-04
ABSTRACT Due to limited weight and stiffness, large-scale robots are susceptible to structural oscillations during operation. In this publication, a model for the vertical dynamics of an aerial rescue ladder as an application example for large scale flexible robots is derived based on the Lagrange formalism. The model consists of five flexible segments, each using an arbitrary number of flexible modes
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Control oriented modelling and modal analysis of the deformable mirror M4 of the extremely large telescope Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-06-09 Philip L. Neureuther, Kevin Schmidt, Thomas Bertram, Oliver Sawodny
ABSTRACT In this article, we derive a mechanical distributed parameter model for the annular sector plate segments of the Extremely Large Telescope’s deformable mirror M4. Additionally, we modally analyse the derived model via analytical and numerical approaches. The deformable mirror M4 is used to reject wavefront disturbances and enhance the optical imaging quality. We present a control oriented
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Dynamic analysis of an over-constrained parallel mechanism with the principle of virtual work Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-05-31 Miao Chen, Qing Zhang, Yunfei Ge, Xianrong Qin, Yuantao Sun
ABSTRACT This research presents the mathematical modelling of kinematic and complete dynamic analysis of a novel over-constrained parallel mechanism, which consists of two universal-prismatic-revolute joint limbs and one revolute-revolute-universal joint limb. The kinematic model is constructed based on the closed-loop vector method and the velocity Jacobian matrix is deduced, velocity-mapping relationships
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Non Uniform Rational B-Splines and Lagrange approximations for time-harmonic acoustic scattering: accuracy and absorbing boundary conditions Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-04-12 S.M. Dsouza, T. Khajah, X Antoine, S.P.A. Bordas, S. Natarajan
ABSTRACT The paper aims to evaluate the performance of the Lagrange-based finite element method and the non-uniform rational B-splines isogeometric analysis of time-harmonic acoustic exterior scattering problems using high-order local absorbing boundary conditions, in particular based on the Karp’s and Wilcox’s far-field expansions. The analysis of accuracy and convergence of both methods is achieved
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Designing optimal models of nonlinear MIMO systems based on orthogonal polynomial neural networks Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-04-09 Marko Milojković, Miroslav Milovanović, Saša S. Nikolić, Miodrag Spasić, Andjela Antić
ABSTRACT This paper presents a new method for modelling of dynamic systems by using specially designed orthogonal polynomial neural networks. These networks utilize the feature that the basis made of orthogonal functions can be used for approximation of arbitrary function, while their property of orthogonality enables optimal performances in the sense of both convergence time and approximation error
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Analysing of Tuberculosis in Turkey through SIR, SEIR and BSEIR Mathematical Models Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-03-25 Yasin Ucakan, Seda Gulen, Kevser Koklu
ABSTRACT Since mathematical models play a key role in investigating the dynamics of infectious diseases, many mathematical models for these diseases are developed. In this paper, it is aimed to determine the dynamics of Tuberculosis (TB) in Turkey, how much it will affect the future and the impact of vaccine therapy on the disease. For this purpose, three mathematical models (SIR, SEIR and BSEIR) in
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An experimental comparison of mathematical heavy-duty city bus models to evaluate passenger ride comfort induced by road roughness Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-03-25 Teron Nguyen, Patrick Swolana, Bernhard Lechner, Wong Y.D.
ABSTRACT Mathematical models have been used widely to investigate the vehicle-passenger-infrastructure dynamical interaction; however, the responses of various heavy-duty city bus models to estimate ride comfort induced by road roughness are still unknown. In this study, the comparison of dynamical response of buses used in city transport is investigated based on multi-degrees-of-freedom (DOF) bus
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Dynamics of cough and particulate behaviour in the human airway Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-03-25 Olusegun J. Ilegbusi, Don Nadun S Kuruppumullage, Bari Hoffman
ABSTRACT Computational Fluid Dynamics is used to model airflow and penetrant behaviour under cough reflex in human airway. The airway geometry segment from the oral cavity to the primary bronchi is reconstructed from CT scan images of a human subject in the standing posture. The inlet flow condition is derived from dynamic cough profiles obtained from two subjects. The mathematical model allows the
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Three-Dimensional Dynamic Modelling and Validation for Vibration of a Beam-Cable System Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-03-12 Mohammad Hadi Jalali, Geoff Rideout
ABSTRACT In order to understand and to predict cable effects on structures, three-dimensional numerical models for a stranded cable and a beam–cable system consisting of a cantilever beam and two connected cables are presented. The multibond graph formalism is used to model the coupled cable–beam system, with the cable and beam substructures using 3D rigid lumped segments. The stranded cables are modelled
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Crop prediction based on soil and environmental characteristics using feature selection techniques Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-03-12 A. Suruliandi, G. Mariammal, S.P. Raja
ABSTRACT Earlier, crop cultivation was undertaken on the basis of farmers’ hands-on expertise. However, climate change has begun to affect crop yields badly. Consequently, farmers are unable to choose the right crop/s based on soil and environmental factors, and the process of manually predicting the choice of the right crop/s of land has, more often than not, resulted in failure. Accurate crop prediction
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Approximating the solution of the discharging process in a domestic hot water storage tank Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-03-12 Frank Müller
ABSTRACT In this article a new approximation procedure for the temperature during the discharging process in a domestic hot water storage tank is developed. The main idea of this procedure is the mathematical description of the dynamic behaviour of a boundary layer that appears inside the storage tank. This leads to an approximate solution of a simple structure but a high accuracy throughout the whole
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Using Neural Networks for a Universal Framework for Agent-based Models Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-03-12 Georg Jäger
ABSTRACT Traditional agent-based modelling is mostly rule-based. For many systems, this approach is extremely successful, since the rules are well understood. However, for a large class of systems it is difficult to find rules that adequately describe the behaviour of the agents. A simple example would be two agents playing chess: Here, it is impossible to find simple rules. To solve this problem,
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Parameter extraction and modelling of the MOS transistor by an equivalent resistance Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-02-22 Sherif M. Sharroush, Yasser S. Abdalla
ABSTRACT During the analysis of multi-transistor circuits, the need arises to evaluate the time delay or the power consumption of the circuit. Due to the complexity of the transistor model, several complicated equations arise from which a compact-form solution cannot be obtained and a suitable physical insight cannot be drawn. With this regard, two contributions are presented in this paper. The first
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Forecasting the primary energy consumption using a time delay grey model with fractional order accumulation Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-02-01 Liang Zeng
ABSTRACT Energy consumption prediction is a hot issue, which is of great significance to regional energy security. In the existing prediction research with small samples, the time delay characteristic of an energy consumption system in itself is often ignored. To reflect the time delay characteristic of an energy consumption system and accurately grasp its development trend, a novel nonlinear time delay
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Modelling and control of a spherical pendulum via a non–minimal state representation Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-01-31 Ricardo Campa, Israel Soto, Omar Martínez
ABSTRACT A spherical pendulum is a 2 degree-of-freedom mechanism consisting on a rod whose tip moves on the surface of a sphere. It is common to use two angular coordinates to describe such a system. This paper proposes the use of a non-minimal set of coordinates for modelling and controlling a fully-actuated torque-driven spherical pendulum. These coordinates is merely for the purpose of showing the
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Editorial Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2021-01-18
(2021). Editorial. Mathematical and Computer Modelling of Dynamical Systems: Vol. 27, No. 1, pp. 1-2.
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System model building and dynamic online control of traffic flow Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2020-11-01 Xiao-Qiong Huang, Yun-Xiang Han
ABSTRACT The Underground transportation system plays a vital role in public transportation and exhibits complicated dynamics. The model predictive control approach for underground train dispatching is proposed in this paper. The system modelling technique spatially aggregates trains to generate the traffic flow model in a network of interconnected control units. The state-space model for the underground
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An energy-consumption model for establishing an integrated energy-consumption process in a machining system Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2020-11-01 Wenbin Gu, Zhuo Li, Zeyu Chen, Yuxin Li
ABSTRACT Manufacturing industry accounts for a significant part of world’s energy consumption and environmental pollutions. Machining process is a major process of manufacturing industries, plays an important role in energy saving and emission reduction. This paper established an energy-consumption model for machining processes considering the full states of machining processes. Firstly, machining
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Model updating for undamped gyroscopic systems with connectivity constraints Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2020-07-26 Hairui Zhang, Yongxin Yuan
ABSTRACT An important and difficult aspect for the finite element model updating problem is to make the updated model have physical meaning, that is, the connectivity of the original model should be preserved in the updated model. In many practical applications, the system matrices generated by discretization of a distributed parameter system with the finite element techniques are often very large
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Oscillating stationary distributions of nanoclusters in an open system Math. Comput. Model. Dyn. Syst. (IF 1.9) Pub Date : 2020-07-19 S. A Matveev, A. A Sorokin, A. P Smirnov, E.E. Tyrtyshnikov
ABSTRACT Steady-state oscillations of nanoparticle populations in the system of colliding monomers and seed-clusters are observed for the range of the seed-cluster source with diffusion and ballistic collision kernels. The dynamics of nanoparticles in this system is driven by monomer-cluster and cluster-cluster irreversible aggregation and described in terms of the number of primary monomers per nanoparticle