Academic literature on the topic 'Auxiliary dynamics'
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Journal articles on the topic "Auxiliary dynamics"
Zakharov, Anatoly Yu. "Field Form of the Dynamics of Classical Many- and Few-Body Systems: From Microscopic Dynamics to Kinetics, Thermodynamics and Synergetics." Quantum Reports 4, no. 4 (November 20, 2022): 533–43. http://dx.doi.org/10.3390/quantum4040038.
Full textZakharov, Anatoly Yu, and Victor V. Zubkov. "Field-Theoretical Representation of Interactions between Particles: Classical Relativistic Probability-Free Kinetic Theory." Universe 8, no. 5 (May 12, 2022): 281. http://dx.doi.org/10.3390/universe8050281.
Full textMu�oz, Gerardo, and William S. Burgett. "Auxiliary ghost fields in statistical dynamics." Journal of Statistical Physics 56, no. 1-2 (July 1989): 59–68. http://dx.doi.org/10.1007/bf01044231.
Full textKeogh, P. S., and M. O. T. Cole. "Contact Dynamic Response With Misalignment in a Flexible Rotor/Magnetic Bearing System." Journal of Engineering for Gas Turbines and Power 128, no. 2 (March 1, 2004): 362–69. http://dx.doi.org/10.1115/1.2056530.
Full textZakharov, Anatoly Yu, and Maxim A. Zakharov. "Relativistic model of interatomic interactions in condensed systems." Kondensirovannye sredy i mezhfaznye granitsy = Condensed Matter and Interphases 25, no. 4 (October 12, 2023): 494–504. http://dx.doi.org/10.17308/kcmf.2023.25/11480.
Full textEbrahimi, Reza, Mostafa Ghayour, and Heshmatallah Mohammad Khanlo. "Effects of some design parameters on bifurcation behavior of a magnetically supported coaxial rotor in auxiliary bearings." Engineering Computations 34, no. 7 (October 2, 2017): 2379–95. http://dx.doi.org/10.1108/ec-04-2017-0141.
Full textAmador, A., N. Bagatella, R. Cordero, and E. Rojas. "Auxiliary fields in the geometrical relativistic particle dynamics." Journal of Physics A: Mathematical and Theoretical 41, no. 11 (March 4, 2008): 115401. http://dx.doi.org/10.1088/1751-8113/41/11/115401.
Full textAlshehry, Azzh Saad, Humaira Yasmin, Muhammad Wakeel Ahmad, Asfandyar Khan, and Rasool Shah. "Optimal Auxiliary Function Method for Analyzing Nonlinear System of Belousov–Zhabotinsky Equation with Caputo Operator." Axioms 12, no. 9 (August 28, 2023): 825. http://dx.doi.org/10.3390/axioms12090825.
Full textShchelchkov, Kirill Aleksandrovich. "Relative optimality in nonlinear differential games with discrete control." Sbornik: Mathematics 214, no. 9 (2023): 1337–50. http://dx.doi.org/10.4213/sm9851e.
Full textAtkinson, C., J. M. Bastero, and I. Miranda. "Path-independent integrals in fracture dynamics using auxiliary fields." Engineering Fracture Mechanics 25, no. 1 (January 1986): 53–62. http://dx.doi.org/10.1016/0013-7944(86)90203-1.
Full textDissertations / Theses on the topic "Auxiliary dynamics"
Liu, Jie. "State Estimation for Linear Singular and Nonlinear Dynamical Systems Based on Observable Canonical Forms." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2024. http://www.theses.fr/2024ISAB0002.
Full textThis thesis aims, on the one hand, to design estimators for linear singular systems usingthemethod of modulation functions. On the other hand, it aims to develop observersfor a class of nonlinear dynamical systems using the method of canonical formsof observers. For singular systems, the designed estimators are presented in the formof algebraic integral equations, ensuring non-asymptotic convergence. An essentialcharacteristic of the designed estimation algorithms is that noisy measurements of theoutputs are only involved in integral terms, thereby imparting robustness to the estimatorsagainst perturbing noises. For nonlinear systems, the main design idea is totransform the proposed systems into a simplified form that accommodates existingobservers such as the high-gain observer and the sliding-mode observer. This simpleformis called auxiliary output depending observable canonical form.For the linear singular systems, we transform the considered system into a formsimilar to the Brunovsky’s observable canonical form with the injection of the inputs’and outputs’ derivatives. First, for linear singular systems with single input and singleoutput, the observability condition is proposed. The system’s input-output differentialequation is derived based on the Brunovsky’s observable canonical form. Algebraicformulas with a sliding integration window are obtained for the variables in differentsituations without knowing the system’s initial condition. Second, for linear singular systemswith multiple input and multiple output, an innovative nonasymptotic and robust estimation method based on the observable canonical form by means of a set of auxiliary modulating dynamical systems is introduced. The latter auxiliary systems are given by the controllable observable canonical with zero initial conditions. The proposed method is applied to estimate the states and the output’s derivatives for linear singular system in noisy environment. By introducing a set of auxiliary modulating dynamical systems which provides a more general framework for generating the requiredmodulating functions, algebraic integral formulas are obtained both for the state variables and the output’s derivatives. After giving the solutions of the required auxiliary systems, error analysis in discrete noisy case is addressed, where the provided noise error bound can be used to select design parameters.For the nonlinear dynamical systems, we propose a family of "ready to wear" nonlineardynamical systemswith multiple outputs that can be transformed into the outputauxiliarydepending observer normal forms which can support the well-known slidingmode observer. For this, by means of the so-called dynamics extension method anda set of changes of coordinates (basic algebraic integral computations), the nonlinearterms are canceled by auxiliary dynamics or replaced by nonlinear functions of themultiple outputs. It is worth mentioning that this procedure is finished in a comprehensible way without resort to the tools of differential geometry, which is user-friendly for those who are not familiar with the computations of Lie brackets. In addition, the efficiency and robustness of the proposed observers are verified by numerical simulations in this thesis. Second, a larger class of "ready to wear" nonlinear dynamicalsystems with multiple inputs and multiple outputs are provided to further extend anddevelop the systems proposed in the first case. In a similar way, by means of the corresponding auxiliary dynamics and a set of changes of coordinates, the provided systems are converted into targeted nonlinear observable canonical forms depending on both the multiple outputs and auxiliary variables. Naturally, this procedure is still completed without resort to geometrical tools. Finally, conclusions are outlined with some perspectives
Plank, Jack R. "Nuclear Thermal Propulsion Cool-Down Phase Optimization Through Quasi-Steady Computational Analysis, and the Effect of Auxiliary Heat Removal Systems." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1618934609976051.
Full textMcCord, Christopher George. "Data-driven dynamic optimization with auxiliary covariates." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122098.
Full textThesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 183-190).
Optimization under uncertainty forms the foundation for many of the fundamental problems the operations research community seeks to solve. In this thesis, we develop and analyze algorithms that incorporate ideas from machine learning to optimize uncertain objectives directly from data. In the first chapter, we consider problems in which the decision affects the observed outcome, such as in personalized medicine and pricing. We present a framework for using observational data to learn to optimize an uncertain objective over a continuous and multi-dimensional decision space. Our approach accounts for the uncertainty in predictions, and we provide theoretical results that show this adds value. In addition, we test our approach on a Warfarin dosing example, and it outperforms the leading alternative methods.
In the second chapter, we develop an approach for solving dynamic optimization problems with covariates that uses machine learning to approximate the unknown stochastic process of the uncertainty. We provide theoretical guarantees on the effectiveness of our method and validate the guarantees with computational experiments. In the third chapter, we introduce a distributionally robust approach for incorporating covariates in large-scale, data-driven dynamic optimization. We prove that it is asymptotically optimal and provide a tractable general-purpose approximation scheme that scales to problems with many temporal stages. Across examples in shipment planning, inventory management, and finance, our method achieves improvements of up to 15% over alternatives. In the final chapter, we apply the techniques developed in previous chapters to the problem of optimizing the operating room schedule at a major US hospital.
Our partner institution faces significant census variability throughout the week, which limits the amount of patients it can accept due to resource constraints at peak times. We introduce a data-driven approach for this problem that combines machine learning with mixed integer optimization and demonstrate that it can reliably reduce the maximal weekly census.
by Christopher George McCord.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
Gibson, Hannah Cameron. "Auxiliary placement in Rangi : a dynamic syntax perspective." Thesis, SOAS, University of London, 2012. http://eprints.soas.ac.uk/16637/.
Full textJenkins, Kerry. "Development of dynamic resolutions for asymmetric synthesis." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241636.
Full textAstley, Marcus Robert. "Orchestrated stakeholder dialogue : its place in dynamic capability theory and its practical value for business." Thesis, London Metropolitan University, 2015. http://repository.londonmet.ac.uk/921/.
Full textYong, Woon Yik. "On the dynamic thermal and thermoelastic contact interaction between a rotor and an auxiliary bearing." Thesis, University of Bath, 2006. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428356.
Full textVanzini, Marco. "Auxiliary systems for observables : dynamical local connector approximation for electron addition and removal spectra." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLX012/document.
Full textThis thesis proposes an innovative theoretical method for studying one-electron excitation spectra, as measured in photoemission and inverse photoemission spectroscopy.The current state-of-the-art realistic calculations rely usually on many-body Green’s functions and complex, non-local self energies, evaluated specifically for each material. Even when the calculated spectra are in very good agreement with experiments, the computational cost is very large. The reason is that the method itself is not efficient, as it yields much superfluous information that is not needed for the interpretation of experimental data.In this thesis we propose two shortcuts to the standard method. The first one is the introduction of an auxiliary system that exactly targets, in principle, the excitation spectrum of the real system. The prototypical example is density functional theory, in which the auxiliary system is the Kohn-Sham system: it exactly reproduces the density of the real system via a real and static potential, the Kohn-Sham potential. Density functional theory is, however, a ground state theory, which hardly yields excited state properties: an example is the famous band-gap problem. The potential we propose (the spectral potential), local and frequency-dependent, yet real, can be viewed as a dynamical generalisation of the Kohn-Sham potential which yields in principle the exact spectrum.The second shortcut is the idea of calculating this potential just once and forever in a model system, the homogeneous electron gas, and tabulating it. To study real materials, we design a connector which prescribes the use of the gas results for calculating electronic spectra.The first part of the thesis deals with the idea of auxiliary systems, showing the general framework in which they can be introduced and the equations they have to fulfill. We then use exactly-solvable Hubbard models to gain insight into the role of the spectral potential; in particular, it is shown that a meaningful potential can be defined wherever the spectrum is non-zero, and that it always yields the expected spectra, even when the imaginary or the non-local parts of the self energy play a prominent role.In the second part of the thesis, we focus on calculations for real systems. We first evaluate the spectral potential in the homogeneous electron gas, and then import it in the auxiliary system to evaluate the excitation spectrum. All the non-trivial interplay between electron interaction and inhomogeneity of the real system enters the form of the connector. Finding an expression for it is the real challenge of the procedure. We propose a reasonable approximation for it, based on local properties of the system, which we call dynamical local connector approximation.We implement this procedure for four different prototypical materials: sodium, an almost homogeneous metal; aluminum, still a metal but less homogeneous; silicon, a semiconductor; argon, an inhomogeneous insulator. The spectra we obtain with our approach agree to an impressive extent with the ones evaluated via the computationally expensive self energy, demonstrating the potential of this theory
SOUZA, Regina Machado de. "Um instrumento para auxiliar o produtor na tomada de decisão quanto à data de venda da soja." Universidade Federal de Goiás, 2010. http://repositorio.bc.ufg.br/tede/handle/tde/405.
Full textThis word aimeded to develop a friendly computational tool that, given the expectation of the producer in relation to soybean prices at a future date, help them decide whether or not it‟s worth waiting to sell their produce at that future date or sell in the current date. This work relied mainly with the System Dynamics methodology for model building and testing of Box-Jenkins to obtain the price expectations. The model also allows deriving the likely minimum price to be received by the producer in order to justify its decision to postpone its sale. We found no empirical evidence capable of sustaining the existence of a priori a better time to sell soybeans.
Este trabalho desenvolveu um instrumento computacional amigável que pudesse, dada a expectativa do produtor em relação ao preço da soja em uma data futura, auxiliá-lo a decidir se vale a pena ou não esperar para vender sua produção naquela data futura ou vendê-la na data atual. Para tanto, contou principalmente com a metodologia System Dynamics para construção do modelo e a análise de Box-Jenkins para obtenção das expectativas de preços. O modelo desenvolvido, também, permite auferir o provável preço mínimo a ser recebido pelo produtor, a fim de que possa justificar sua decisão em postergar sua venda. Não foram encontradas evidências empíricas capazes de sustentar a existência a priori de uma melhor data para se vender a soja.
Esna, Ashari Esfahani Alireza. "Détection active de pannes dans les systèmes dynamiques en boucle fermée." Thesis, Paris Est, 2010. http://www.theses.fr/2010PEST1060.
Full textThe aim is to develop a novel theory of robust active failure detection based on multi-model formulation of faults. The original method was already proposed by the Metalau group of INRIA. We have continued to work on the extension of this approach to more general cases. The focus is on the effects of feedback on the previous approach. The multi-model approach is still used to model the normal and the failed systems; however the possible advantages of using linear dynamic feedback in the construction of the auxiliary signal for robust fault detection is considered and the results are compared to the previously developed open-loop setup. An original formulation of the active fault detection problem using feedback is developed. The norm of the auxiliary signal is considered as a possible cost criterion. Also, we have considered a more general cost function that has already been used for measuring the performance of feedback configurations in Linear Control Theory. We have given a complete solution to this problem. In order to find a complete solution, several mathematical problems are solved
Books on the topic "Auxiliary dynamics"
Annamalai, E. Dynamics of verbal extension in Tamil. Trivandrum, Kerala: Dravidian Linguistics Association of India, 1985.
Find full textXiaojun, Wang, ed. Hang tian qi qi dong li fu zhu bian gui dong li xue yu zui you kong zhi. Beijing Shi: Zhongguo yu hang chu ban she, 2006.
Find full textT, Flowers George, and United States. National Aeronautics and Space Administration., eds. Synchronous dynamics of a coupled shaft-bearing-housing system with auxiliary support for a clearance bearing: Analysis and experiment. [Washington, DC: National Aeronautics and Space Administration, 1992.
Find full textA, Malinkovskai︠a︡, ed. Genrikh Neĭgauz i ego ucheniki: Pianisty-gnesint︠s︡y rasskazyvai︠u︡t. Moskva: Klassika-XXI, 2007.
Find full textL, Labus Thomas, Lovely Ronald G, and United States. National Aeronautics and Space Administration., eds. Solar dynamic power module design. [Washington, DC]: National Aeronautics and Space Administration, 1989.
Find full textMarinca, Vasile, Nicolae Herisanu, and Bogdan Marinca. Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75653-6.
Full textT, Korakianitis, and United States. National Aeronautics and Space Administration., eds. Dynamic modeling of solar dynamic components and systems: J.I. Hochstein and T. Korakianitis. [Washington, DC: National Aeronautics and Space Administration, 1992.
Find full textL, Christiansen Eric, Fleming Michael L, and United States. National Aeronautics and Space Administration., eds. On protection of Freedom's solar dynamic radiator from the orbital debris environment. [Washington, DC]: National Aeronautics and Space Administration, 1991.
Find full textL, Christiansen Eric, Fleming Michael L, and United States. National Aeronautics and Space Administration., eds. On protection of Freedom's solar dynamic radiator from the orbita debris environment. [Washington, DC]: National Aeronautics and Space Administration, 1990.
Find full textFlowers, G. T. Dynamic behavior of a magnetic bearing supported jet engine rotor with auxiliary bearings. Albuquerque, N.M: TSI Press, 1994.
Find full textBook chapters on the topic "Auxiliary dynamics"
Kolev, Nikolay Ivanov. "Some Auxiliary Systems." In Multiphase Flow Dynamics 5, 505–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15156-4_11.
Full textKolev, Nikolay I. "Some auxiliary systems." In Multiphase Flow Dynamics 4, 405–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92918-5_11.
Full textKolev, Nikolay Ivanov. "Some auxiliary systems." In Multiphase Flow Dynamics 5, 461–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20601-6_11.
Full textFahy, S. "Ground-State Projection with Auxiliary Fields: Imaginary-Time and Simulation-Time Dynamics." In Springer Proceedings in Physics, 122–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78448-4_11.
Full textKarkori, Fidaa. "Auxiliary System Design." In Dynamic Positioning Systems, 45–47. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59173-0_5.
Full textKutoyants, Yu. "Auxiliary Results." In Identification of Dynamical Systems with Small Noise, 11–38. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1020-4_2.
Full textMarinca, Vasile, Nicolae Herisanu, and Bogdan Marinca. "The Optimal Auxiliary Functions Method." In Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems, 11–16. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75653-6_2.
Full textMarinca, Vasile, Nicolae Herisanu, and Bogdan Marinca. "Piecewise Optimal Auxiliary Functions Method." In Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems, 417–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75653-6_30.
Full textMarinca, Vasile, Nicolae Herisanu, and Bogdan Marinca. "Dynamic Analysis of a Rotating Electrical Machine Rotor-Bearing System." In Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems, 159–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75653-6_16.
Full textMarinca, Vasile, Nicolae Herisanu, and Bogdan Marinca. "Dynamic Response of a Permanent Magnet Synchronous Generator to a Wind Gust." In Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems, 177–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75653-6_18.
Full textConference papers on the topic "Auxiliary dynamics"
Hembree, Charles, Joshua Hanson, Biliana Paskaleva, Pavel Bochev, Eric Keiter, Alan Mar, and Ting Mei. "Semiconductor Device Models Constructed Using Simple Elements and Auxiliary Dynamics ." In Proposed for presentation at the Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology held September 26-29, 2021 in San Diego, CA. US DOE, 2021. http://dx.doi.org/10.2172/1890913.
Full textKeogh, Patrick S., and Matthew O. T. Cole. "Contact Dynamic Response With Misalignment in a Flexible Rotor/Magnetic Bearing System." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53818.
Full textLawen, James L., and George T. Flowers. "Interaction Dynamics Between a Flexible Rotor and an Auxiliary Clearance Bearing." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0022.
Full textSipavichyus, Ch, R. Shlezhas, and Arunas Amulevicius. "Dynamics of auxiliary gas outflow under laser cutting: models and the experiment." In Progress in Research and Development of High-Power Industrial CO2 Lasers, edited by Vladislav Y. Panchenko and Vladimir S. Golubev. SPIE, 2000. http://dx.doi.org/10.1117/12.394127.
Full textQin, Qingquan, Guojun Yang, Zhengang Shi, and Suyuan Yu. "Preliminary Research of Auxiliary Bearing in HTR-10GT Project." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48163.
Full textYang, Yee-Pien, Fu-Cheng Wang, Hsin-Ping Chang, Ying-Wei Ma, Chih-Wei Huang, and Biing-Jyh Weng. "Proton Exchange Membrane Fuel Cell System Identification and Control: Part I — System Dynamics, Modeling and Identification." In ASME 2006 4th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2006. http://dx.doi.org/10.1115/fuelcell2006-97119.
Full textWang, Qingyu, Eric H. Maslen, and Hyeong-Joon Ahn. "Incorporating Data Uncertainty in Rotordynamic Model Reconciliation." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38595.
Full textOruganti, Pradeep Sharma, Qadeer Ahmed, and Daniel Jung. "Effects of Thermal and Auxiliary Dynamics on a Fuel Cell Based Range Extender." In WCX World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1311.
Full textRen, Zhongyuan, Xuejun Ren, and Lingzhi Ren. "AO2DS: A Method of Auxiliary Operational Decision-making Based on System Dynamics Simulation." In 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC). IEEE, 2023. http://dx.doi.org/10.1109/isacc56298.2023.10084273.
Full textDeSmidt, Hans, Kon-Well Wang, and Edward Smith. "Multi-Harmonic Adaptive Vibration Control of Magnetic Bearing-Driveline with Auxiliary Feedback: Theory and Experiment." In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-1632.
Full textReports on the topic "Auxiliary dynamics"
Furman, Alex, Jan Hopmans, Shmuel Assouline, Jirka Simunek, and Jim Richards. Soil Environmental Effects on Root Growth and Uptake Dynamics for Irrigated Systems. United States Department of Agriculture, February 2011. http://dx.doi.org/10.32747/2011.7592118.bard.
Full textFu, G., J. Van Dam, and M. Rosenbluth. Dynamical transition to second stability in auxiliary heated tokamaks. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/6309193.
Full textBaader, Franz, and Marcel Lippmann. Runtime Verification Using a Temporal Description Logic Revisited. Technische Universität Dresden, 2014. http://dx.doi.org/10.25368/2022.203.
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