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Artykuły w czasopismach na temat „Stabilization model”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Kim, A., V. Kormyshev, H. Kwon, M. Safronov, and A. Tarasyev. "HIV-infection model stabilization." IFAC-PapersOnLine 48, no. 25 (2015): 214–17. http://dx.doi.org/10.1016/j.ifacol.2015.11.088.

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Madhavrao Deshmukh, Shailesh, and Ravi Prakash Mahobia. "A Fuzzy Inference Model for Efficient Power Stabilization Model in PV Systems." E3S Web of Conferences 540 (2024): 04004. http://dx.doi.org/10.1051/e3sconf/202454004004.

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The power stabilization in photovoltaic systems is well studied. There exist number of approaches in stabilizing the output power of PV systems. The most approaches concern about the input power and residual energy of capacitors. Still they suffer to achieve higher performance in power stabilization. To handle this issue, an efficient Fuzzy inference based Power stabilization model (FIPSM) is presented in this paper. The model is focused on utilizing residual energy on different circuits and avoiding higher drain of energy on any of the circuit. The model fabricated with MOFSET device in each

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3

Preul, H. C., and R. A. Wagner. "Waste Stabilization Pond Prediction Model." Water Science and Technology 19, no. 12 (1987): 205–11. http://dx.doi.org/10.2166/wst.1987.0147.

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This paper presents a prediction model for calculating the expected effluent performance of a facultative waste stabilization pond. The model is intended to improve on current design approaches through more appropriate recognition of physical and climatic factors which affect the prediction of pond performance. The importance of hydraulic routing throuah a pond is stressed along with wind mixing, thermal stratification, pond geometry, and other basic design parameters. The final form of the model is a working equation based on analyses of the various pond processes; because of the complexity o

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4

Mikaelian, Karnig O. "Simple model for ablative stabilization." Physical Review A 46, no. 10 (1992): 6621–27. http://dx.doi.org/10.1103/physreva.46.6621.

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5

Saluyk, Olexander. "Mathematical Description of Systems for Space Stabilization of Equipment Assigned for Operation on Moving Vehicles." Electronics and Control Systems 3, no. 77 (2023): 53–59. http://dx.doi.org/10.18372/1990-5548.77.18004.

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The article deals with the development of mathematical description of systems for stabilization of measurement and observation equipment assigned for operation at moving vehicles of the wide class such as land, marine, and air moving vehicles. Mathematical descriptions of one-axis, two-axis, and three-axis stabilization systems are represented including kinematical relations and dynamics models. The general mathematical descriptions and the appropriate models in the space of states are given. The basic approaches to linearization of the generalized models are represented. The sets of turns in

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6

Lyulyov, Oleksii, and Hanna Shvindina. "Stabilization Pentagon Model: application in the management at macro- and micro-levels." Problems and Perspectives in Management 15, no. 3 (2017): 42–52. http://dx.doi.org/10.21511/ppm.15(3).2017.04.

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The problem of instability of industries, clusters and states influences the countries’ economies. Unavoidable changes became an attribute of the strategic planning at every level. As a result, an effective tool is needed to evaluate stability at different levels in such a way that will make it possible to manage the changes. In this paper the concept of Macroeconomic Stabilization Pentagon (MSP) was analyzed for its applicability for the EU countries of low-an-middle-income economies including Ukraine. The data analysis brought new understanding of the assessment of the public policies’ effec

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7

Qin, Shiqiang, Juntao Kang, and Qiuping Wang. "Operational Modal Analysis Based on Subspace Algorithm with an Improved Stabilization Diagram Method." Shock and Vibration 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7598965.

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Subspace-based algorithms for operational modal analysis have been extensively studied in the past decades. In the postprocessing of subspace-based algorithms, the stabilization diagram is often used to determine modal parameters. In this paper, an improved stabilization diagram is proposed for stochastic subspace identification. Specifically, first, a model order selection method based on singular entropy theory is proposed. The singular entropy increment is calculated from nonzero singular values of the output covariance matrix. The corresponding model order can be selected when the variatio

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8

Colomer, F. LLavador, and D. Prats Rico. "Mechanistic model for facultative stabilization ponds." Water Environment Research 65, no. 5 (1993): 679–85. http://dx.doi.org/10.2175/wer.65.5.11.

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9

Slavyanov, Andrey Stanislavovich. "BALANCE MODEL OF INNOVATION PROCESS STABILIZATION." SOFT MEASUREMENTS AND COMPUTING 1, no. 3 (2021): 40–45. http://dx.doi.org/10.36871/2618-9976.2021.03.005.

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The paper shows that due to the emerging investment imbalance between scientific and industrial organizations, the innovation process becomes unstable, the results of research and development cannot be integrated into the production cycle in a timely manner, which leads to their moral aging. On the basis of the input – output model, a balance sheet model of the innovation process is proposed, which allows supporting management decisions to eliminate emerging investment imbalances.

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10

Kiniwa, Jun, Kensaku Kikuta, and Hiroaki Sandoh. "A PRICE STABILIZATION MODEL IN NETWORKS." Journal of the Operations Research Society of Japan 60, no. 4 (2017): 479–95. http://dx.doi.org/10.15807/jorsj.60.479.

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11

Pustovitov, V. D. "Rotational stabilization in the Boozer model." Physics of Plasmas 14, no. 2 (2007): 022501. http://dx.doi.org/10.1063/1.2435320.

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12

Akin, J. E., T. Tezduyar, M. Ungor, and S. Mittal. "Stabilization Parameters and Smagorinsky Turbulence Model." Journal of Applied Mechanics 70, no. 1 (2003): 2–9. http://dx.doi.org/10.1115/1.1526569.

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For the streamline-upwind/Petrov-Galerkin and pressure-stabilizing/Petrov-Galerkin formulations for flow problems, we present in this paper a comparative study of the stabilization parameters defined in different ways. The stabilization parameters are closely related to the local length scales (“element length”), and our comparisons include parameters defined based on the element-level matrices and vectors, some earlier definitions of element lengths, and extensions of these to higher-order elements. We also compare the numerical viscosities generated by these stabilized formulations with the

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13

Friedler, Eran, Marcelo Juanico, and Gedalia Shelef. "Simulation model of wastewater stabilization reservoirs." Ecological Engineering 20, no. 2 (2003): 121–45. http://dx.doi.org/10.1016/s0925-8574(03)00009-0.

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14

Wood, Keith. "An Inpatient Skills Training Stabilization Model." Brief Treatment and Crisis Intervention 2, no. 4 (2002): 315–24. http://dx.doi.org/10.1093/brief-treatment/2.4.315.

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15

Nicaise, Serge. "Stabilization of a Drude/Vacuum Model." Zeitschrift für Analysis und ihre Anwendungen 37, no. 3 (2018): 349–75. http://dx.doi.org/10.4171/zaa/1618.

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16

Polprasert, Chongrak, and Kiran K. Bhattarai. "Dispersion Model for Waste Stabilization Ponds." Journal of Environmental Engineering 111, no. 1 (1985): 45–59. http://dx.doi.org/10.1061/(asce)0733-9372(1985)111:1(45).

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17

Chai, Shu Gen. "Boundary Feedback Stabilization of Naghdi’s Model." Acta Mathematica Sinica, English Series 21, no. 1 (2004): 169–84. http://dx.doi.org/10.1007/s10114-004-0408-1.

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18

Ferreres, Gilles, and Carsten D�ll. "Robust stabilization of an LFT model." International Journal of Robust and Nonlinear Control 10, no. 9 (2000): 699–708. http://dx.doi.org/10.1002/1099-1239(20000730)10:9<699::aid-rnc497>3.0.co;2-s.

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19

Guzmán, Patricio. "Boundary stabilization of a microbeam model." Mathematical Methods in the Applied Sciences 43, no. 9 (2020): 5979–84. http://dx.doi.org/10.1002/mma.6340.

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20

Kim, A., V. Kormyshev, H. Kwon, M. Safronov, and A. Tarasyev. "Results of HIV-infection model stabilization." IFAC-PapersOnLine 48, no. 25 (2015): 210–13. http://dx.doi.org/10.1016/j.ifacol.2015.11.087.

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21

Liu, Zhiwei. "Conformity Model in Social Network Opinion Formation." Lecture Notes in Education Psychology and Public Media 81, no. 1 (2025): 185–94. https://doi.org/10.54254/2753-7048/2025.21105.

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The advent of social media has profoundly influenced how public opinion is formed and consolidated. This paper delves into the intricate dynamics of opinion stabilization within various network structures and examines the role of conformity in the opinion formation process. Drawing on existing theoretical frameworks, including social psychology and evolutionary game theory, this study uses agent-based modeling to simulate opinion dynamics across different network topologies. This study compares the mean stabilization times across basic structures (star, ring, tree) and complex structures (Bara

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22

Campbell, Samuel, Michelle C. Mendoza, Aravind Rammohan, Matthew E. McKenzie, and Tamara C. Bidone. "Computational model of integrin adhesion elongation under an actin fiber." PLOS Computational Biology 19, no. 7 (2023): e1011237. http://dx.doi.org/10.1371/journal.pcbi.1011237.

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Cells create physical connections with the extracellular environment through adhesions. Nascent adhesions form at the leading edge of migrating cells and either undergo cycles of disassembly and reassembly, or elongate and stabilize at the end of actin fibers. How adhesions assemble has been addressed in several studies, but the exact role of actin fibers in the elongation and stabilization of nascent adhesions remains largely elusive. To address this question, here we extended our computational model of adhesion assembly by incorporating an actin fiber that locally promotes integrin activatio

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23

Bagnato, V. S., N. P. Bigelow, G. I. Surdutovich, and S. C. Zílio. "Dynamical stabilization: a new model for supermolasses." Optics Letters 19, no. 19 (1994): 1568. http://dx.doi.org/10.1364/ol.19.001568.

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24

SOTNIKOVA, MARGARITA. "PLASMA STABILIZATION BASED ON MODEL PREDICTIVE CONTROL." International Journal of Modern Physics A 24, no. 05 (2009): 999–1008. http://dx.doi.org/10.1142/s0217751x09044450.

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The nonlinear model predictive control algorithms for plasma current and shape stabilization are proposed. Such algorithms are quite suitable for the situations when the plant to be controlled has essentially nonlinear dynamics. Besides that, predictive model based control algorithms allow to take into account a lot of requirements and constraints involved both on the controlled and manipulated variables. The significant drawback of the algorithms is that they require a lot of time to compute control input at each sampling instant. In this paper the model predictive control algorithms are demo

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25

Olvera, Arturo, Abraham De la Rosa, and Claudia M. Giordano. "Mechanical stabilization of the Levitron’s realistic model." European Physical Journal Special Topics 225, no. 13-14 (2016): 2729–40. http://dx.doi.org/10.1140/epjst/e2016-60005-3.

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26

Le Roux, Patrick. "Simplified model and stabilization of SSFP sequences." Journal of Magnetic Resonance 163, no. 1 (2003): 23–37. http://dx.doi.org/10.1016/s1090-7807(03)00115-0.

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27

Raymond, Jean-Pierre. "Feedback Stabilization of a Fluid-Structure Model." SIAM Journal on Control and Optimization 48, no. 8 (2010): 5398–443. http://dx.doi.org/10.1137/080744761.

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28

Klabučar, D., and G. E. Brown. "Two-phase model with vector-meson stabilization." Nuclear Physics A 454, no. 3-4 (1986): 589–605. http://dx.doi.org/10.1016/0375-9474(86)90107-7.

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29

HOVORUSHCHENKO, T., M. KRASOVSKYI, and A. YAVNYUK. "MODEL AND METHOD OF STABILIZATION OF THE SINGLE-AXIS PLATFORM FOR A MULTI-FUNCTIONAL COOPERATIVE ROBOTIC SYSTEM." Herald of Khmelnytskyi National University. Technical sciences 283, no. 2 (2020): 47–50. https://doi.org/10.31891/2307-5732-2020-283-2-47-50.

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The conducted analysis of known methods and solutions in the field of cooperative robotics shows that there are still a large number of unresolved issues in this area, in particular, the stabilization of the single-axis platform, which is the purpose of this study. Cooperative robotics is a new branch of industrial robotics that enables joint production. Cooperative production largely depends on the availability of cooperative robot. The creation of cooperative robots that work in close contact with humans is a direction that is rapidly developing. Cooperative application, natural for such tas

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30

Mrabet, E., M. Abdelghani, and N. Ben Kahla. "A New Criterion for the Stabilization Diagram Used with Stochastic Subspace Identification Methods: An Application to an Aircraft Skeleton." Shock and Vibration 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/409298.

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The modal parameters of a structure that is estimated from ambient vibration measurements are always subject to bias and variance errors. Accordingly the concept of the stabilization diagram is introduced to help users identify the correct model. One of the most important problems using this diagram is the appearance of spurious modes that should be discriminated to simplify modes selections. This study presents a new stabilization criterion obtained through a novel numerical implementation of the stabilization diagram and the discussion of model validation employing the power spectral density

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31

Shekhovtsov, V. V., M. V. Lyashenko, P. V. Potapov, A. A. Shvedunenko, and A. V. Vaganov. "ANALYSIS OF THE VEHICLE MOTION CONTROL SYSTEM FOR MOVING ON STEPPED SURFACES." Spravochnik. Inzhenernyi zhurnal, no. 309 (December 2022): 55–59. http://dx.doi.org/10.14489/hb.2022.12.pp.055-059.

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The paper presents an analysis of the stabilization of the movement of a vehicle when moving on various surfaces, in particular on stepped ones. A distinctive feature of the vehicle is the unique design of the transmission and the method of motion stabilization based on the stabilization of the reverse pendulum. The motion stabilization system is a relationship between the operation of physical and intellectual objects, in this analysis, a mathematical model of the vehicle completely similar to the real model acts as a physical object, and as an intelligent vehicle stabilization system based o

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32

Roan, Jiunn-Ren. "Application of the Edwards Model to Steric Stabilization of Nanoparticles." International Journal of Modern Physics B 17, no. 15 (2003): 2791–820. http://dx.doi.org/10.1142/s0217979203020727.

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The Edwards model for polymers with excluded-volume interaction has been used to study steric stabilization of colloidal dispersions since Dolan and Edwards' work in 1975. Following the standard picture of steric stabilization since 1950s, Dolan and Edwards solved the model by treating the surfaces of colloidal particles as plane surfaces. Consequently, their result was also consistent with the standard picture: Reduction of conformational entropy of the adsorbed homopolymers results in a purely repulsive force that stabilizes the colloidal dispersion. Recently the Edwards model was solved wit

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33

Ablesimov, Aleksandr, Tatyana Zhmurchyk, Andrei Rud, and Arthur Tsoba. "Digital Stabilization System." Electronics and Control Systems 1, no. 67 (2021): 47–53. http://dx.doi.org/10.18372/1990-5548.67.15589.

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A model of a discrete system for stabilizing the ship's course has been developed and the results of research on the choice of an optimal digital controller for it are presented. The method of the describing function is used as a research method. In developing a mathematical model of a discrete system, a typical block diagram of a continuous stabilization system was used. The location of the quantizer and extrapolator in it was determined. The latter was selected as a zero-order extrapolator, as the simplest, easily implemented with standard equipment, although the use of a first-order extrapo

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34

Ortiz de Luzuriaga, Iker, Xabier Lopez, and Adrià Gil. "Learning to Model G-Quadruplexes: Current Methods and Perspectives." Annual Review of Biophysics 50, no. 1 (2021): 209–43. http://dx.doi.org/10.1146/annurev-biophys-060320-091827.

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G-quadruplexes have raised considerable interest during the past years for the development of therapies against cancer. These noncanonical structures of DNA may be found in telomeres and/or oncogene promoters, and it has been observed that the stabilization of such G-quadruplexes may disturb tumor cell growth. Nevertheless, the mechanisms leading to folding and stabilization of these G-quadruplexes are still not well established, and they are the focus of much current work in this field. In seminal works, stabilization was observed to be produced by cations. However, subsequent studies showed

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35

Saad, Issa Sarsam. "Assessing the Resistance to Capillary Rise of Moisture of Asphalt Stabilized Embankment model." Journal of Advances in Geotechnical Engineering 6, no. 3 (2023): 1–7. https://doi.org/10.5281/zenodo.8255449.

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<em>One of the major durability problems of roadway embankment that is constructed with Gypseous soil is the continuous dissolution of the gypsum due to the capillary rise of moisture throughout its service life. Restriction of the dissolution may be ensured by stabilizing the Gypseous soil with emulsified liquid asphalt. In the present investigation, Gypseous soil was implemented in the construction of an embankment model in the laboratory. Cationic emulsion was used to stabilize the soil. The control and the stabilized soil embankment models were subjected to capillary rise of moisture from

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36

Kramar, Vadim, Aleksey Kabanov, and Sergey Dudnikov. "A Mathematical Model for a Conceptual Design and Analyses of UAV Stabilization Systems." Fluids 6, no. 5 (2021): 172. http://dx.doi.org/10.3390/fluids6050172.

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This article considers the principle of constructing mathematical models of functionally complex multidimensional multiloop continuous–discrete UAV stabilization systems. This is based on the proposal for constructing a mathematical model based on the class of the considered complexity of the stabilization system-multidimensionality, multi-rating, and elasticity. Multiloop (multidimensional) UAV stabilization systems are often characterized by the control of several interconnected state elements and the existence of several channels for the propagation of signals and mutual connections between

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37

Bryant, C. W., and E. C. Bauer. "A Simulation of Benthal Stabilization." Water Science and Technology 19, no. 12 (1987): 161–67. http://dx.doi.org/10.2166/wst.1987.0141.

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An existing benthal model has been modified and calibrated for the description of the physical and biological processes in consolidating organic deposits of both municipal and papermill origin. Temperature sensitivities, phosphorus reactions, and flexibility as to solids identification were added to the model. Model predictions of organic stabilization, direct oxygen uptake, and soluble feedback of nitrogen, phosphorus, and chemical oxygen demand have been compared to data collected from both laboratory and field operations. Phosphorus distribution was controlled by advection and biological up

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38

Vij, Priya, and Divya. "Real time Capacitance and Absorption Based Voltage Regulation Model for Improved Power Stabilization with Cuk Converter." E3S Web of Conferences 540 (2024): 06006. http://dx.doi.org/10.1051/e3sconf/202454006006.

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The problem of voltage regulation in power systems has been well studied. There exist numbers of stabilization model discussed in literature which consider input and output voltage. The methods suffer to achieve higher performance in power stabilization. To handle this issue, an efficient Real-time Capacitance and Absorption based voltage regulation model (RCAVRM) is presented in this paper. The model has been fabricated with different MOFSET and cuk converter connected in serial where the Mofset are designed to maintain the traces of voltage present in different capacitors and inductors. At e

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39

ANAMI, Keiko. "Model Tests for Dynamic Stabilization of Tainter-Gates." Proceedings of Yamanashi District Conference 2019 (2019): D44. http://dx.doi.org/10.1299/jsmeyamanashi.2019.d44.

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Yokota, Tomomi, Michael Winkler, Akio Ito, and Kentarou Fujie. "Stabilization in a chemotaxis model for tumor invasion." Discrete and Continuous Dynamical Systems 36, no. 1 (2015): 151–69. http://dx.doi.org/10.3934/dcds.2016.36.151.

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Zhao, Xiaowei, and George Weiss. "Strong Stabilization of a Non-uniform SCOLE Model." IFAC Proceedings Volumes 41, no. 2 (2008): 8761–66. http://dx.doi.org/10.3182/20080706-5-kr-1001.01481.

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Taniuchi, Hiroshi, Alan Schechter, and Joseph Shiloach. "Linderstrom-Lang-Schellmans Model for Protein Stabilization Revisited." Current Protein & Peptide Science 5, no. 4 (2004): 275–86. http://dx.doi.org/10.2174/1389203043379666.

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Shih, Frank Y., and Alan Stone. "A New Image Stabilization Model for Vehicle Navigation." Positioning 01, no. 01 (2010): 8–17. http://dx.doi.org/10.4236/pos.2010.11002.

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Bellomo, Nicola, and Youshan Tao. "Stabilization in a chemotaxis model for virus infection." Discrete & Continuous Dynamical Systems - S 13, no. 2 (2020): 105–17. http://dx.doi.org/10.3934/dcdss.2020006.

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Brewczyński, Damin, and Grzegorz Tora. "DYNAMICS MODEL OF STABILIZATION MECHANISM FOR HELICOPTER PAD." Journal of KONES. Powertrain and Transport 23, no. 2 (2016): 61–68. http://dx.doi.org/10.5604/12314005.1213556.

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Hossain, Mainul, Nikhil Pal, Sudip Samanta, and Joydev Chattopadhyay. "Fear Induced Stabilization in an Intraguild Predation Model." International Journal of Bifurcation and Chaos 30, no. 04 (2020): 2050053. http://dx.doi.org/10.1142/s0218127420500534.

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In the present paper, we investigate the impact of fear in an intraguild predation model. We consider that the growth rate of intraguild prey (IG prey) is reduced due to the cost of fear of intraguild predator (IG predator), and the growth rate of basal prey is suppressed due to the cost of fear of both the IG prey and the IG predator. The basic mathematical results such as positively invariant space, boundedness of the solutions, persistence of the system have been investigated. We further analyze the existence and local stability of the biologically feasible equilibrium points, and also stud

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47

Veronica, A. Jeya, and N. Senthil Kumar. "Development of hybrid microgrid model for frequency stabilization." Wind Engineering 41, no. 5 (2017): 343–52. http://dx.doi.org/10.1177/0309524x17723203.

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Power systems of today are highly complex and highly interconnected. It generates electricity by burning fossil fuels (coal, natural gas, diesel, nuclear fuel, etc.), which produces harmful gases and particles, pollutes environment, and degrades lives. To mitigate the bad impact of burning fossil fuels and meet the increase in electrical system, demand distributed energy sources employing nonconventional energy sources like wind and solar are used. Electric power generation through the nonconventional energy sources has become more viable and cheaper than the fossil fuel–based power plants. Th

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Minamitsuji, Masato, Misao Sasaki, and Wade Naylor. "Volume stabilization in a warped flux compactification model." Journal of High Energy Physics 2006, no. 12 (2006): 079. http://dx.doi.org/10.1088/1126-6708/2006/12/079.

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Kundu, Sudeep, and Amiya K. Pani. "Stabilization of Kelvin–Voigt viscoelastic fluid flow model." Applicable Analysis 98, no. 12 (2018): 2284–307. http://dx.doi.org/10.1080/00036811.2018.1460810.

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Sun, M., and J. K. Wang. "Flight stabilization control of a hovering model insect." Journal of Experimental Biology 210, no. 15 (2007): 2714–22. http://dx.doi.org/10.1242/jeb.004507.

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