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Artículos de revistas sobre el tema "Coupled system"

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Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 20 de febrero de 2023

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1

Liu, L., G. Yang, B. Wang, C. Zhang, R. Li, Z. Zhang, Y. Ji y L. Wang. "C-Coupler1: a Chinese community coupler for Earth system modeling". Geoscientific Model Development 7, n.º 5 (9 de octubre de 2014): 2281–302. http://dx.doi.org/10.5194/gmd-7-2281-2014.

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Abstract. A coupler is a fundamental software tool for Earth system modeling. Targeting the requirements of 3-D coupling, high-level sharing, common model software platform and better parallel performance, we started to design and develop a community coupler (C-Coupler) from 2010 in China, and finished the first version (C-Coupler1) recently. C-Coupler1 is a parallel 3-D coupler that achieves the same (bitwise-identical) results with any number of processes. Guided by the general design of C-Coupler, C-Coupler1 enables various component models and various coupled models to be integrated on the same common model software platform to achieve a higher-level sharing, where the component models and the coupler can keep the same code version in various model configurations for simulation. Moreover, it provides the C-Coupler platform, a uniform runtime environment for operating various kinds of model simulations in the same manner. C-Coupler1 is ready for Earth system modeling, and it is publicly available. In China, there are more and more modeling groups using C-Coupler1 for the development and application of models.

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2

Hoffman, Ross N. y Robert Atlas. "Future Observing System Simulation Experiments". Bulletin of the American Meteorological Society 97, n.º 9 (1 de septiembre de 2016): 1601–16. http://dx.doi.org/10.1175/bams-d-15-00200.1.

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Abstract As operational forecast and data assimilation (DA) systems evolve, observing system simulation experiment (OSSE) systems must evolve in parallel. Expected development of operational systems—especially the use of data that are currently not used or are just beginning to be used, such as all-sky and surface-affected microwave radiances—will greatly challenge our ability to construct realistic OSSE systems. An additional set of challenges will arise when future DA systems strongly couple the different Earth system components. In response, future OSSE systems will require coupled models to simulate nature and coupled observation simulators. The requirements for future evolving OSSE systems and potential solutions to satisfy these requirements are discussed. It is anticipated that in the future the OSSE technique will be applied to diverse and coupled domains with the use of increasingly advanced and sophisticated simulations of nature and observations.

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3

Liu, L., G. Yang, B. Wang, C. Zhang, R. Li, Z. Zhang, Y. Ji y L. Wang. "C-Coupler1: a Chinese community coupler for Earth System Modelling". Geoscientific Model Development Discussions 7, n.º 3 (11 de junio de 2014): 3889–936. http://dx.doi.org/10.5194/gmdd-7-3889-2014.

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Abstract. Coupler is a fundamental software tool for Earth System Modelling. Targeting the requirements of 3-D coupling, high-level sharing, common model software platform and better parallel performance, we started to design and develop a community coupler (C-Coupler) from 2010 in China, and finished the first version (C-Coupler1) recently. The C-Coupler1 is a parallel 3-D coupler that achieves the same (bit-identical) result with any number of processes. Guided by the general design of the C-Coupler, the C-Coupler1 enables various component models and various coupled model versions to be integrated on the same common model software platform to achieve a~higher-level sharing, where the component models and the coupler can keep the same code version in various model versions for simulation. Moreover, it provides the C-Coupler platform, a uniform runtime environment for operating various kinds of model simulations in the same manner. Now the C-Coupler1 is ready for Earth System Modelling, and it is publicly available. In China, there are more and more model groups using the C-Coupler1 for the development and application of models.

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4

Wysochin, Viktor y Аnna Golovatyuk. "Structural factors of solar system cluster ground coupled storage rationalization". Odes’kyi Politechnichnyi Universytet. Pratsi, n.º 3 (23 de diciembre de 2015): 26–30. http://dx.doi.org/10.15276/opu.3.47.2015.08.

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5

Adomian, G. y R. Rach. "A coupled nonlinear system". Journal of Mathematical Analysis and Applications 113, n.º 2 (febrero de 1986): 510–13. http://dx.doi.org/10.1016/0022-247x(86)90322-7.

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6

Vavilala, Sateesh Kumar y Vinopraba T. "Fractional State Feedback Controller for a Non-Interacting Coupled Tank System". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 0009-SPECIAL ISSUE (25 de septiembre de 2019): 257–65. http://dx.doi.org/10.5373/jardcs/v11/20192565.

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7

Yan, Fa Suo, Peng Fei Shen, Hong Wei Wang y Jun Zhang. "A Coupled Method for Dynamic Analysis of Offshore Floating Wind Turbine System". Applied Mechanics and Materials 220-223 (noviembre de 2012): 841–44. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.841.

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A coupled dynamic analysis method is introduced for numerical simulation of floating wind turbine systems in this paper. A numerical code，which has been developed to perform couple hydrodynamic analysis of floating body together with its mooring system, is extended to collaborate with wind turbine simulator to evaluate the interactions between wind turbine and its floating base. To verify the coupled method, a dynamic response analysis of a spar type floating wind turbine system (NREL offshore-5MW baseline wind turbine) is carried out separately by the coupled Morison method and radiation-diffraction theory. Numerical results and comparison are presented. It turns out that this coupled method is competent enough to predict hydrodynamic performance of floating wind turbine system. The numerical results derived in this study may provide crucial information for the design of a floating wind turbine in the near future.

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8

He, Zelong, Jiyuan Bai y Cheng Ma. "Conductance through a parallel-coupled double quantum dot with a side-coupled quantum dot system". Modern Physics Letters B 31, n.º 09 (30 de marzo de 2017): 1750095. http://dx.doi.org/10.1142/s0217984917500956.

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Using the non-equilibrium Green’s function technique, conductance through a parallel-coupled double quantum dot (PCDQD) with a side-coupled quantum dot system is investigated. The evolution of the conductance strongly depends on the coupling between the side-coupled quantum dot and PCDQD. Moreover, the conductance as a function of the level of side-couple quantum dot is investigated. Numerical results indicate the lineshape of Fano resonance can be modulated by adjusting the interdot coupling strength.

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9

Zhu, Xiu Mei. "Vibration Analysis of Coupled Faults Diagnosis in a Rotor System Using Wavelet De-Noising and KPCA Data Fusion". Applied Mechanics and Materials 192 (julio de 2012): 233–36. http://dx.doi.org/10.4028/www.scientific.net/amm.192.233.

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In a rotor system, simultaneous existence of coupled faults, i.e. a crack couples with a misalignment, is very common. However, the single fault diagnosis has been investigated extensively in previous work while the issue of coupled faults diagnosis (i.e. considering two or more than two faults at a time) has been addressed insufficiently. In order to detect the existence of coupled faults and to prevent a fatigue crack in the rotor shaft, a new method is proposed to analyze the vibration signals using the Wavelet de-nosing and kernel principal component analysis (KPCA) in this work. The Wavelet was firstly used to de-noise the original vibration signals, and then the KPCA was adopted to extract useful fault features for the coupled faults detection. A case study on the coupled fault diagnosis of the rotor system has been implemented. The diagnosis results demonstrate that the proposed method is feasible for the coupled fault diagnosis of rotor systems. The fault detection rate is 91.0%.

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10

Amster, P. y M. C. Mariani. "A system of coupled pendulii". Nonlinear Analysis: Theory, Methods & Applications 64, n.º 8 (abril de 2006): 1647–53. http://dx.doi.org/10.1016/j.na.2005.07.009.

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11

Qi, Wang, Liu Qin-yu y Li Li. "A coupled interannual oscillation system". Chinese Journal of Oceanology and Limnology 18, n.º 3 (septiembre de 2000): 216–20. http://dx.doi.org/10.1007/bf02842666.

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12

Sjövall, Per y Thomas Abrahamsson. "Substructure system identification from coupled system test data". Mechanical Systems and Signal Processing 22, n.º 1 (enero de 2008): 15–33. http://dx.doi.org/10.1016/j.ymssp.2007.06.003.

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13

Ciotti, M., F. Panza, A. Cardinali, R. Gatto, G. Ramogida, G. Lomonaco, G. Ricco, M. Ripani y M. Osipenko. "NOVEL HYBRID PILOT EXPERIMENT PROPOSAL FOR A FUSION-FISSION SUBCRITICAL COUPLED SYSTEM". Problems of Atomic Science and Technology, Ser. Thermonuclear Fusion 44, n.º 2 (2021): 57–64. http://dx.doi.org/10.21517/0202-3822-2021-44-2-57-64.

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14

Saeed, Rostam K. y Rebwar S. Muhammad. "Solving Coupled Hirota System by Using Homotopy Perturbation and Homotopy Analysis Methods". Journal of Zankoy Sulaimani - Part A 17, n.º 2 (22 de febrero de 2015): 201–18. http://dx.doi.org/10.17656/jzs.10394.

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15

Choy, F. K., Y. F. Ruan, R. K. Tu, J. J. Zakrajsek y D. P. Townsend. "Modal Analysis of Multistage Gear Systems Coupled With Gearbox Vibrations". Journal of Mechanical Design 114, n.º 3 (1 de septiembre de 1992): 486–97. http://dx.doi.org/10.1115/1.2926577.

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This paper presents an analytical procedure to simulate vibrations in gear transmission systems. This procedure couples the dynamics of the rotor-bearing gear system with the vibration in the gearbox structure. The modal synthesis method is used in solving the overall dynamics of the system, and a variable time-stepping integration scheme is used in evaluating the global transient vibration of the system. Locally each gear stage is modelled as a multimass rotor-bearing system using a discrete model. The modal characteristics are calculated using the matrix-transfer technique. The gearbox structure is represented by a finite element model, and modal parameters are solved by using NASTRAN. The rotor-gear stages are coupled through nonlinear compliance in the gear mesh while the gearbox structure is coupled through the bearing supports of the rotor system. Transient and steady state vibrations of the coupled system are examined in both time and frequency domains. A typical three-geared system is used as an example for demonstration of the developed procedure.

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16

Wazwaz, Abdul-Majid. "Multiple-soliton solutions for coupled KdV and coupled KP systems". Canadian Journal of Physics 87, n.º 12 (diciembre de 2009): 1227–32. http://dx.doi.org/10.1139/p09-109.

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In this work we study two systems of coupled KdV and coupled KP equations. The Hirota bilinear method is applied to show that these two systems are completely integrable. Multiple-soliton solutions and multiple singular-soliton solutions are derived for each system. The resonance phenomenon is examined as well.

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17

Liu, Xiaomeng, J. I. A. Li, Kenji Watanabe, Takashi Taniguchi, James Hone, Bertrand I. Halperin, Philip Kim y Cory R. Dean. "Crossover between strongly coupled and weakly coupled exciton superfluids". Science 375, n.º 6577 (14 de enero de 2022): 205–9. http://dx.doi.org/10.1126/science.abg1110.

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Following a crossover Superfluidity in fermionic systems occurs through the pairing of fermions into bosons, which can undergo condensation. Depending on the strength of the interactions between fermions, the pairs range from large and overlapping to tightly bound. The crossover between these two limits has been explored in ultracold Fermi gases. Liu et al . observed the crossover in an electronic system consisting of two layers of graphene separated by an insulating barrier and placed in a magnetic field. In this two-dimensional system, the pairs were excitons formed from an electron in one layer and a hole in the other. The researchers used magnetic field and layer separation to tune the interactions and detected the signatures of superfluidity through transport measurements. —JS

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18

Ping, Liu, Jia Man y Lou Sen-Yue. "A Discrete Lax-Integrable Coupled System Related to Coupled KdV and Coupled mKdV Equations". Chinese Physics Letters 24, n.º 10 (28 de septiembre de 2007): 2717–19. http://dx.doi.org/10.1088/0256-307x/24/10/001.

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19

Xiong, Shaoping, Gabriel Wilfong y John Lumkes. "Development of a novel high-speed actuation mechanism using a magneto-rheological fluid clutch and its application to a fluid control valve". Journal of Intelligent Material Systems and Structures 30, n.º 16 (28 de julio de 2019): 2502–16. http://dx.doi.org/10.1177/1045389x19862368.

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In many dynamic systems, such as vehicles, engine air and fuel control systems, fluid power systems, industrial robotics, and testing machines, high-speed actuators are necessary to achieve efficient system operation and high bandwidth performance. This article introduces a new actuation mechanism to enable high-speed actuation. The premise for this actuation mechanism is to momentarily couple a moving component (kinetic energy source) with translational components, which is enabled by a coupling/clutch system. The kinetic energy source (flywheel, electric motor, pump or motor shaft, etc.) is intermittently clutched and declutched to produce linear motion. This article presents such an energy coupler actuator using a magneto-rheological fluid clutch, initially focused on an application for high-speed valve actuation. A multi-physics coupled model was developed to evaluate the proposed energy coupler actuator performance. Simulations were conducted to optimize the energy coupler actuator design parameters. A prototype of the magneto-rheological fluid energy coupler actuator based on the optimal design solution was fabricated and experimentally tested, which achieved 1.6-mm stroke in 4.7 ms.

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20

Xu, L., C. Zhu y L. Qin. "Microelectromechanical coupled dynamics". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 220, n.º 10 (1 de octubre de 2006): 1589–600. http://dx.doi.org/10.1243/09544062jmes134.

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In this paper, a continuous body, electromechanical coupled dynamic model of the micro ring, in an electrical field has been presented and its equations of motion have been given. From the analysis of the system's energy, the electromechanical coupled force has been obtained. The non-linear electromechanical coupled dynamic equations has been linearized and by means of the linear equations, the natural frequencies and vibration modes of the micro ring have been investigated. The dynamic responses of the electrical system and its changes, along with its system parameters have been investigated. These results are useful in the design and manufacture of microelectromechanical systems and can offer some reference for nanomachines.

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21

Naz, R. "Conservation laws for a complexly coupled KdV system, coupled Burgers’ system and Drinfeld–Sokolov–Wilson system via multiplier approach". Communications in Nonlinear Science and Numerical Simulation 15, n.º 5 (mayo de 2010): 1177–82. http://dx.doi.org/10.1016/j.cnsns.2009.05.071.

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22

Zhang, Jin, Ming Cai, Bochao Chen y Hui Wei. "Homotopy Series Solutions to Time-Space Fractional Coupled Systems". Discrete Dynamics in Nature and Society 2017 (2017): 1–19. http://dx.doi.org/10.1155/2017/3540364.

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We apply the homotopy perturbation Sumudu transform method (HPSTM) to the time-space fractional coupled systems in the sense of Riemann-Liouville fractional integral and Caputo derivative. The HPSTM is a combination of Sumudu transform and homotopy perturbation method, which can be easily handled with nonlinear coupled system. We apply the method to the coupled Burgers system, the coupled KdV system, the generalized Hirota-Satsuma coupled KdV system, the coupled WBK system, and the coupled shallow water system. The simplicity and validity of the method can be shown by the applications and the numerical results.

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23

Li, Qiang, Tao Wang, Yikai Su, Min Yan y Min Qiu. "Coupled mode theory analysis of mode-splitting in coupled cavity system". Optics Express 18, n.º 8 (6 de abril de 2010): 8367. http://dx.doi.org/10.1364/oe.18.008367.

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24

Chin Soon Teoh y L. E. Davis. "A coupled pendula system as an analogy to coupled transmission lines". IEEE Transactions on Education 39, n.º 4 (1996): 548–57. http://dx.doi.org/10.1109/13.544810.

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25

AGIZA, H. N. "CHAOS SYNCHRONIZATION OF TWO COUPLED DYNAMOS SYSTEMS WITH UNKNOWN SYSTEM PARAMETERS". International Journal of Modern Physics C 15, n.º 06 (julio de 2004): 873–83. http://dx.doi.org/10.1142/s0129183104006303.

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This paper addresses the synchronization problem of two coupled dynamos systems in the presence of unknown system parameters. Based on Lyapunov stability theory, an active control law is derived and activated to achieve the state synchronization of two identical coupled dynamos systems. By using Gerschgorin theorem, a simple generic criterion is derived for global synchronization of two coupled dynamos systems with a unidirectional linear error feedback coupling. This simple criterion is applicable to a large class of chaotic systems, where only a few algebraic inequalities are involved. Numerical simulations results are used to demonstrate the effectiveness of the proposed control methods.

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26

Doroshenko, V. M., V. P. Kruglov y S. P. Kuznetsov. "Smale – Williams Solenoids in a System of Coupled Bonhoeffer – van der Pol Oscillators". Nelineinaya Dinamika 14, n.º 4 (2018): 435–51. http://dx.doi.org/10.20537/nd180402.

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27

PERIN, Yann, Kiril VELKOV, Igor PASICHNYK y Siegfried LANGENBUCH. "ICONE19-44013 ROD EJECTION ACCIDENT BY THE COUPLED SYSTEM CODE ATHLET-QUABOX/CUBBOX". Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1944. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1944_7.

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28

HEYDEMAN, M. THOMAS. "Redox enzymes: a model coupled system". Biochemical Society Transactions 19, n.º 4 (1 de noviembre de 1991): 401S. http://dx.doi.org/10.1042/bst019401s.

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29

Stefanovska, Aneta, Maja Bracic Lotric, Saso Strle y Hermann Haken. "The cardiovascular system as coupled oscillators?" Physiological Measurement 22, n.º 3 (1 de agosto de 2001): 535–50. http://dx.doi.org/10.1088/0967-3334/22/3/311.

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30

WATANABE, Tetsuya. "Equivalent Damping Ratio of Coupled System". Transactions of the Japan Society of Mechanical Engineers Series C 73, n.º 725 (2007): 90–97. http://dx.doi.org/10.1299/kikaic.73.90.

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31

Belyaev, R. V., É. V. Kal’yanov, V. Ya Kislov, B. E. Kyarginskii y M. N. Lebedev. "Autostochastic system of coupled microwave generators". Technical Physics Letters 25, n.º 4 (abril de 1999): 307–9. http://dx.doi.org/10.1134/1.1262461.

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32

Guha-Roy, C. y D. K. Sinha. "On a coupled water wave system". Physica Scripta 42, n.º 6 (1 de diciembre de 1990): 643–45. http://dx.doi.org/10.1088/0031-8949/42/6/002.

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33

Gerbeau, J. F. y C. Le Bris. "A coupled system arising in magnetohydrodynamics". Applied Mathematics Letters 12, n.º 3 (mayo de 1999): 53–57. http://dx.doi.org/10.1016/s0893-9659(98)00172-4.

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34

Chacón, Edgar, Gisela De Sarrazin y Yanira Khodr. "Coupled dynamics for industrial complex system". Nonlinear Analysis: Theory, Methods & Applications 47, n.º 3 (agosto de 2001): 1561–70. http://dx.doi.org/10.1016/s0362-546x(01)00290-5.

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35

Ueng, Jin-Min, Chi-Chang Lin y Pao-Lung Lin. "System identification of torsionally coupled buildings". Computers & Structures 74, n.º 6 (febrero de 2000): 667–86. http://dx.doi.org/10.1016/s0045-7949(99)00073-5.

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36

Agarwal, Ravi P. y Donal O'Regan. "A coupled system of difference equations". Applied Mathematics and Computation 114, n.º 1 (agosto de 2000): 39–49. http://dx.doi.org/10.1016/s0096-3003(99)00073-9.

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37

Abdel-Aziz, H. s. "Geometric Phase of a Coupled System". Communications in Theoretical Physics 42, n.º 5 (15 de noviembre de 2004): 672–74. http://dx.doi.org/10.1088/0253-6102/42/5/672.

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38

Psiuk, Rafael, Alisa Artizada, Daniel Cichon, Hartmut Brauer, Hannes Toepfer y Albert Heuberger. "Modeling of an inductively coupled system". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, n.º 4 (2 de julio de 2018): 1500–1514. http://dx.doi.org/10.1108/compel-08-2017-0351.

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Purpose This paper aims to provide a flexible model for a system of inductively coupled loops in a quasi-static magnetic field. The outlined model is used for theoretical analyses on the magnetic field-based football goal detection system called as GoalRef, where a primary loop generates a magnetic field around the goal. The passive loops are integrated in the football, and a goal is deduced from induced voltages in loop antennas mounted on the goal frame. Design/methodology/approach Based on the law of Biot–Savart, the magnetic vector potential of a primary current loop is calculated. The induced voltages in secondary loops are derived by Faraday’s Law. Expressions to calculate induced voltages in elliptically shaped loops and their magnetic field are also presented. Findings The induced voltages in secondary loops close to the primary loop are derived by either numerically integrating the primary magnetic flux density over the area of the secondary loop or by integrating the primary magnetic vector potential over the boundary of that loop. Both approaches are examined and compared with respect to accuracy and calculation time. It is shown that using the magnetic vector potential instead of the magnetic flux density can decrease the processing time by a factor of around 100. Research limitations/implications Environmental influences like conductive or permeable obstacles are not considered in the model. Practical implications The model can be used to investigate the theoretical behavior of inductively coupled systems. Originality/value The proposed model provides a flexible, fast and accurate tool for calculations of inductively coupled systems, where the loops can have arbitrary shape, position and orientation.

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39

Lourêdo, Aldo T., Alexandro M. Oliveira y Marcondes R. Clark. "Boundary stabilization for a coupled system". Nonlinear Analysis: Theory, Methods & Applications 74, n.º 18 (diciembre de 2011): 6988–7004. http://dx.doi.org/10.1016/j.na.2011.07.019.

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40

Kawala, A. M. "Numerical Solutions for Ito Coupled System". Acta Applicandae Mathematicae 106, n.º 3 (10 de octubre de 2008): 325–35. http://dx.doi.org/10.1007/s10440-008-9300-9.

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41

Li, Gang, Hui Wang y Jiang Zhu. "On a nonstationary nonlinear coupled system". Computational & Applied Mathematics 30, n.º 3 (2011): 517–42. http://dx.doi.org/10.1590/s1807-03022011000300003.

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42

Ma, Yu-Han, Lan-Qing Huang, Chu-Min Sun y Xiao-Wen Li. "Experimental system of coupled map lattices". Frontiers of Physics 10, n.º 3 (25 de marzo de 2015): 339–42. http://dx.doi.org/10.1007/s11467-015-0466-0.

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43

Yang, Li-Xin, Yan-Dong Chu, Jian-Gang Zhang y Xian-Feng Li. "Chaos synchronization of coupled hyperchaotic system". Chaos, Solitons & Fractals 42, n.º 2 (30 de octubre de 2009): 724–30. http://dx.doi.org/10.1016/j.chaos.2009.01.043.

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44

Wu, Jiankang y Lijun Lu. "Liquid-solid coupled system of micropump". Acta Mechanica Solida Sinica 19, n.º 1 (marzo de 2006): 40–49. http://dx.doi.org/10.1007/s10338-006-0605-9.

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45

Green, Jeremy y Troy Swanson. "Tightening the System: Reference as a Loosely Coupled System". Journal of Library Administration 51, n.º 4 (22 de abril de 2011): 375–88. http://dx.doi.org/10.1080/01930826.2011.556960.

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46

Xie, Long, Masaru Yamasaki, Toshiyuki Ajima, Junnosuke Nakatsugawa y Yoshitaka Sugiyama. "A Coupled System Simulator for Electric Power Steering System". SAE International Journal of Passenger Cars - Electronic and Electrical Systems 6, n.º 2 (8 de abril de 2013): 389–96. http://dx.doi.org/10.4271/2013-01-0423.

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47

Zhu, Zhihui, Wei Gong, Lidong Wang, Issam E. Harik y Yu Bai. "A hybrid solution for studying vibrations of coupled train–track–bridge system". Advances in Structural Engineering 20, n.º 11 (9 de marzo de 2017): 1699–711. http://dx.doi.org/10.1177/1369433217691775.

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This article develops a hybrid model to analyse the dynamic interactions between a train, tracks and a bridge. The model couples the train and track subsystems to form an integrated time-dependent subsystem through a vertically interacting wheel–rail model. In turn, this time-dependent subsystem is coupled with the bridge subsystem by enforcing the compatibility of forces at the contact points between the track and the bridge. A new hybrid solution algorithm is proposed which combines the strongly coupled method and the loosely coupled method to numerically solve the equation of motion of the coupled train–track–bridge system in the time domain. The integrated time-dependent equation of motion of the train–track subsystem is solved by applying the strongly coupled method. The equilibrium equations of the train–track subsystem and bridge subsystem are then solved via the loosely coupled method using the Newmark integration scheme. Significantly faster convergence can be achieved by avoiding the iterative equilibrium calculations between the wheel and the rail, and the total computational efficiency increases significantly because of the considerably smaller size of the time-dependent equations of motion and larger integration time step. The accuracy and computational cost of the proposed method are validated and compared to the existing models using a case study on the vibration of a cable-stayed bridge.

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Lu, Fei, Hua Zhang, Heath Hofmann, Wencong Su y Chunting Chris Mi. "A Dual-Coupled LCC-Compensated IPT System With a Compact Magnetic Coupler". IEEE Transactions on Power Electronics 33, n.º 7 (julio de 2018): 6391–402. http://dx.doi.org/10.1109/tpel.2017.2748391.

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Yu-Feng, Zhang y Zhang Hong-Qing. "Solitary Wave Solutions for the Coupled Ito System and a Generalized Hirota–Satsuma Coupled KdV System". Communications in Theoretical Physics 36, n.º 6 (15 de diciembre de 2001): 657–60. http://dx.doi.org/10.1088/0253-6102/36/6/657.

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Shneen, Salam Waley. "Advanced Optimal For PV system coupled with PMSM". Indonesian Journal of Electrical Engineering and Computer Science 1, n.º 3 (1 de marzo de 2016): 556. http://dx.doi.org/10.11591/ijeecs.v1.i3.pp556-565.

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The main advantages of PMSM are high torque density, high efficiency and small size. Photovoltaic power generation system PV generation technology is treated as the most promising technology among renewable energies. Photovoltaic (PV) power generation system is a promising source of energy with great interest in clean and renewable energy sources. To use different control systems, like Classical PI Controller, Expert System Fuzzy Logic Controller and Optimization PSO Controller. It used to control for power electronic (inverter) &PMSM which worked in the integration system to PV energy. There are two parts in this paper, first part advanced Optimal PSO, Fuzzy &PI Controller power electronic (inverter) with PV for using different control systems this part on the generator side at constant torque. Second part in the load side of variable torque, by using different control systems with PMSM to analyze all results after using the simulation model of proposed based PV system. The PV system is coupled with PMSM. A closed loop control system with a PI control, Fuzzy, PSO in the speed loop with current controllers.

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