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Статті в журналах з теми "First order dynamic"

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ÖZOĞUZ, BANU EBRU, YIĞIT GÜNDÜÇ, and MERAL AYDIN. "DYNAMIC SCALING FOR FIRST-ORDER PHASE TRANSITIONS." International Journal of Modern Physics C 11, no. 03 (2000): 553–59. http://dx.doi.org/10.1142/s0129183100000468.

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The critical behavior in short time dynamics for the q = 6 and 7 state Potts models in two-dimensions is investigated. It is shown that dynamic finite-size scaling exists for first-order phase transitions.
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2

Bharadwaj, Shrikant R., and Clifton M. Schor. "Dynamic control of ocular disaccommodation: First and second-order dynamics." Vision Research 46, no. 6-7 (2006): 1019–37. http://dx.doi.org/10.1016/j.visres.2005.06.005.

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Sanner, Scott, and Kristian Kersting. "Symbolic Dynamic Programming for First-order POMDPs." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1140–46. http://dx.doi.org/10.1609/aaai.v24i1.7747.

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Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (approximately) optimal dynamic programming solutions. Much work in recent years has focused on improving the efficiency of these dynamic programming algorithms by exploiting symmetries and factored or relational representations. In this work, we show that it is also possible to exploit the full expressive power of first-order quantification to achieve state, action, and observation abstraction in a dynamic programming solu
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Dos Santos, Iguer Luis Domini, Sanket Tikare, and Martin Bohner. "First-order nonlinear dynamic initial value problems." International Journal of Dynamical Systems and Differential Equations 11, no. 3/4 (2021): 241. http://dx.doi.org/10.1504/ijdsde.2021.10040295.

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Bohner, Martin, Sanket Tikare, and Iguer Luis Domini Dos Santos. "First-order nonlinear dynamic initial value problems." International Journal of Dynamical Systems and Differential Equations 11, no. 3/4 (2021): 241. http://dx.doi.org/10.1504/ijdsde.2021.117358.

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Fu, Bin, and Qiongzhang Li. "The expressibility of first order dynamic logic." Journal of Computer Science and Technology 7, no. 3 (1992): 268–73. http://dx.doi.org/10.1007/bf02946577.

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Pu, Yewen, Rastislav Bodik, and Saurabh Srivastava. "Synthesis of first-order dynamic programming algorithms." ACM SIGPLAN Notices 46, no. 10 (2011): 83–98. http://dx.doi.org/10.1145/2076021.2048076.

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Atici, F. Merdivenci, and D. C. Biles. "First order dynamic inclusions on time scales." Journal of Mathematical Analysis and Applications 292, no. 1 (2004): 222–37. http://dx.doi.org/10.1016/j.jmaa.2003.11.053.

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Mantin, Benny, Daniel Granot, and Frieda Granot. "Dynamic pricing under first order Markovian competition." Naval Research Logistics (NRL) 58, no. 6 (2011): 608–17. http://dx.doi.org/10.1002/nav.20470.

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Joshi, S., and R. Khardon. "Probabilistic Relational Planning with First Order Decision Diagrams." Journal of Artificial Intelligence Research 41 (June 21, 2011): 231–66. http://dx.doi.org/10.1613/jair.3205.

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Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diagrams, to capture domain dynamics and value functions. Work on symbolic dynamic programming lifted these ideas to first order logic using several representation schemes. Recent work introduced a first order variant of decision diagrams (FODD) and developed a value iteration algorithm for this representation. This paper develops several improvements to the FODD algorithm that make the approach practical. These include,
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Дисертації з теми "First order dynamic"

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Duke, Elizabeth R. "Solving higher order dynamic equations on time scales as first order systems." Huntington, WV : [Marshall University Libraries], 2006. http://www.marshall.edu/etd/descript.asp?ref=653.

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Park, Nam Seog. "A connectionist representation of first-order formulae with dynamic variable binding." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/30624.

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The relationship between symbolicism and connectionism has been one of the major issues in recent Artificial Intelligence research. An increasing number of researchers from each side have tried to adopt desirable characteristics of the other. These efforts have produced a number of different strategies for interfacing connectionist and symbolic AI. One of them is <I>connectionist and symbol processing</I> which attempts to replicate symbol processing functionalaties using connectionist components. In this direction, this thesis develops a connectionist inference architecture which performs sta
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Kutahyalioglu, Aysen. "Oscillation Of Second Order Dynamic Equations On Time Scales." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605380/index.pdf.

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During the last decade, the use of time scales as a means of unifying and extending results about various types of dynamic equations has proven to be both prolific and fruitful. Many classical results from the theories of differential and difference equations have time scale analogues. In this thesis we derive new oscillation criteria for second order dynamic equations on time scales.
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Sforni, Lorenzo. "A First-Order Closed-loop Methodology for Nonlinear Optimal Control." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21429/.

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This thesis is focused on state-of-art numerical optimization methods for nonlinear (discrete-time) optimal control. These challenging problems arise when dealing with complex tasks for autonomous systems (e.g. vehicles or robots) which require the generation of a trajectory that satisfies the system dynamics and, possibly, input and state constraints due to, e.g, actuator limits or safety region of operation. A general formulation is proposed that allows the implementation of different descent optimization algorithms on optimal control problems exploiting the beneficial effects of state f
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Zaidi, Atiya-tul-Hussain Mathematics &amp Statistics Faculty of Science UNSW. "Existence and uniqueness of solutions to non-linear first order dynamic equations on time scales." Awarded by:University of New South Wales. Mathematics & Statistics, 2009. http://handle.unsw.edu.au/1959.4/44908.

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The theory of dynamic equations on time scales provides an important bridge between the fields of differential and difference equations. It is particularly useful in describing phenomena that possess a hybrid continuous-discrete behaviour in their growth, like many temperate--2one insect populations and crops. A dynamic equation on a time scale is a generalised. 'two-in-one' model, it serves as a differential equation for purely continuous domains and as a difference equation for purely discrete ones. The field of "dynamic equations on time scales" is about 20 years old. As such, much of the
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Giorgidze, George. "First-class models : on a noncausal language for higher-order and structurally dynamic modelling and simulation." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/12554/.

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The field of physical modelling and simulation plays a vital role in advancing numerous scientific and engineering disciplines. To cope with the increasing size and complexity of physical models, a number of modelling and simulation languages have been developed. These languages can be divided into two broad categories: causal and noncausal. Causal languages express a system model in terms of directed equations. In contrast, a noncausal model is formulated in terms of undirected equations. The fact that the causality can be left implicit makes noncausal languages more declarative and noncausal
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Heidarian, Alireza. "Study of the Static and Dynamic Magnetization across the First Order Phase Transition in FeRh Thin Films." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-198693.

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The equiatomic FeRh alloy undergoes a first-order phase transition from an antiferromagnetic (AFM) to a ferromagnetic (FM) state at about 370 K with a small thermal hysteresis of about 10 K around the phase transition. The transition is accompanied by a unit cell volume expansion about 1% in the c lattice parameter. During the transition the new phase nucleates in the matrix of the original phase by reaching the critical temperature followed by a growth in size upon increasing temperature further. Therefore, to understand the transition process with more details, it is desirable to investigate
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Bertone, Armando. "Static and dynamic motion aftereffects of first- and second-order motion in central and peripheral fields of vision." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0003/MQ39441.pdf.

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Baradaran, Amir R. "Development and Implementation of a Preconditioner for a Five-Moment One-Dimensional Moment Closure." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32225.

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This study is concerned with the development and implementation of a preconditioner for a set of hyperbolic partial differential equations resulting from a new 5-moment closure for the prediction of gas flows both in and out of local equilibrium. This new 5-moment closure offers a robust and efficient system of first-order hyperbolic partial differential equations that has proven to provide an accurate treatment of one-dimensional gases, both in and for significant departures from local thermodynamic equilibrium. However, numerical computations using this model have proven to be difficult as a
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Heidarian, Alireza [Verfasser], Jürgen [Akademischer Betreuer] Faßbender, and Thomas [Akademischer Betreuer] Thomson. "Study of the Static and Dynamic Magnetization across the First Order Phase Transition in FeRh Thin Films / Alireza Heidarian. Betreuer: Jürgen Faßbender. Gutachter: Jürgen Faßbender ; Thomas Thomson." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://d-nb.info/1088185940/34.

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Книги з теми "First order dynamic"

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Kiviet, Jan F. Higher-order asymptotic expansions of the least-squares estimation bias in first-order dynamic regression models. University of Bristol, Department of Economics, 1996.

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2

Hughes, Terence J. Holistic ice sheet modeling: A first-order approach. Nova Science Publishers, 2011.

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3

Llibre, Jaume, Rafael Ramírez, and Valentín Ramírez. Dynamics through First-Order Differential Equations in the Configuration Space. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27095-6.

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Padhi, Seshadev, John R. Graef, and P. D. N. Srinivasu. Periodic Solutions of First-Order Functional Differential Equations in Population Dynamics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1895-1.

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Subbotin, A. I. Generalized solutions of first-order PDEs: The dynamical optimization perspective. Birkhäuser, 1995.

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Workshop on Dynamics of First Order Phase Transitions (1992 Jülich, Germany). Workshop on dynamics of first order phase transitions: HLRZ, KFA Jülich, Germany, June 1-3, 1992. World Scientific, 1992.

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7

Southeast Geometry Seminar (15th 2009 University of Alabama at Birmingham). Geometric analysis, mathematical relativity, and nonlinear partial differential equations: Southeast Geometry Seminars Emory University, Georgia Institute of Technology, University of Alabama, Birmingham, and the University of Tennessee, 2009-2011. Edited by Ghomi Mohammad 1969-. American Mathematical Society, 2013.

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8

First Order Partial Dynamic Equations on Time Scales. Cambridge Scholars Publishing, 2024.

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Back, Kerry E. Dynamic Portfolio Choice. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0009.

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The first‐order condition for optimal portfolio choice is called the Euler equation. Optimal consumption can be computed by a static approach in a dynamic complete market and by orthogonal projection for a quadratic utility investor. Dynamic programming and the Bellman equation are explained. The envelope condition and hedging demands are explained. Investors with CRRA utility have CRRA value functions. Whether the marginal value of wealth is higher for a CRRA investor in good states or in bad states depends on whether risk aversion is less than or greater than 1. With IID returns, the optimal
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Teece, David J., and Sohvi Heaton, eds. The Oxford Handbook of Dynamic Capabilities. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199678914.001.0001.

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This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note that the online publication date for this handbook is the date that the first article in the title was published online. For more information, please read the site FAQs. In order to make quality strategic decisions, managers need a deep understanding
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Частини книг з теми "First order dynamic"

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Georgiev, Svetlin G. "First Order Dynamic Inclusions." In Fuzzy Dynamic Equations, Dynamic Inclusions, and Optimal Control Problems on Time Scales. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76132-5_7.

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Gergely, Tamás, and László Úry. "Dynamic Logic Generated by Extension." In First-Order Programming Theories. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58205-9_14.

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Bohner, Martin, and Allan Peterson. "First Order Linear Equations." In Dynamic Equations on Time Scales. Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0201-1_2.

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Georgiev, Svetlin G., and Sanket Tikare. "First-Order Functional Dynamic Equations." In Dynamic Equations on Time Scales and Applications. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003467908-2.

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Géczy, Peter, Shiro Usui, and Ján Chmúrny. "First Order Dynamic Instance Selection." In The State of the Art in Computational Intelligence. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1844-4_13.

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Georgiev, Svetlin G. "First Order Fuzzy Dynamic Equations." In Fuzzy Dynamic Equations, Dynamic Inclusions, and Optimal Control Problems on Time Scales. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76132-5_2.

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Gergely, Tamás, and László Úry. "Is Temporal Logic Expressible in Dynamic Logic?" In First-Order Programming Theories. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58205-9_20.

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Gergely, Tamás, and László Úry. "Is Dynamic Logic Expressible in Temporal Logic?" In First-Order Programming Theories. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58205-9_21.

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Ognjanović, Zoran, Aleksandar Perović, and Dragan Doder. "A First-Order Dynamic Probability Logic." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39091-3_39.

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Georgiev, Svetlin G. "Stability for First-Order Functional Dynamic Equations." In Functional Dynamic Equations on Time Scales. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15420-2_5.

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Тези доповідей конференцій з теми "First order dynamic"

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Rostami, Mohammadreza, Hossein Moradian, and Solmaz S. Kia. "First-Order Dynamic Optimization for Streaming Convex Costs." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10645050.

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Mikhaylov, Alexander S., and Victor S. Mikhaylov. "On the Inverse Dynamic Problem for the First-Order Dissipative System." In 2024 Days on Diffraction (DD). IEEE, 2024. https://doi.org/10.1109/dd62861.2024.10768047.

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Hasanzadeh, Milad, and Shu-Xia Tang. "Distributed Dynamic Encirclement Control for First-Order Multi-Agent Systems with Communication Delay." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644950.

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Rashid, Sabaa Hamid, and Dhamyaa A. Nasrawi. "Generation Method of Dynamic Coverless Arabic Text Information Hiding Using First-Order Markov Chain." In 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA). IEEE, 2024. http://dx.doi.org/10.1109/icsintesa62455.2024.10748032.

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Luo, Zhipeng, Li Fan, Zheming Yan, Jinhu Niu, Bo Yu, and Aimin An. "Support Vector Machine Based Dynamic Obstacle Avoidance Strategy for First-Order Consistent Formation Control." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865550.

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Ge, Leijiao, and Xingyun Li. "First Order Nonlinear Filtering Adaptive Dynamic Surface Fixed Time Fault-Tolerant Control Method for Nonlinear Pure Feedback Systems." In 2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2024. http://dx.doi.org/10.1109/ddcls61622.2024.10606882.

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Jiang, Jun Xiang, and Lei Ke. "Numerical Simulation Analysis of Dynamic Performance of Magnetically Coupled Monostable Piezoelectric Energy Harvester Device." In 12th Annual International Conference on Material Science and Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-j2bsvo.

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To meet the energy needs of devices such as wireless sensor networks and MEMS systems,improve the adaptability of piezoelectric energy harvester, this paper studies a two-degree-of-freedom(2-DOF) monostable piezoelectric energy harvester based on magnetic. The electromechanical coupling dynamics equation of the 2-DOF monostable system is established. The dynamic equation is solved by harmonic balance method. The output of dimensionless amplitude-frequency curves of a 2-DOF monostable piezoelectric system in the first and second order resonances is simulation analyzed. The results show that the
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Pu, Yewen, Rastislav Bodik, and Saurabh Srivastava. "Synthesis of first-order dynamic programming algorithms." In the 2011 ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2048066.2048076.

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Mohammadi, Keyvan, and Andrea L’Afflitto. "A Continuous First-Order Sliding Mode Control Law." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5082.

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Sliding mode control is a technique to design robust feedback control laws. In its classical formulation, this approach involves discontinuous controls that arise several theoretical and practical challenges, such as the existence of non-unique solutions of nonlinear differential equations and chattering. Numerous variations of the sliding mode control architecture, such as the higher-order sliding mode method, have been presented to overcome these issues. In this paper, we present an alternative sliding mode control architecture that involves Hölder continuous feedback control laws, is simple
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Yan, Lei, and K. Krishnamurthy. "Motion Planning for Dynamic Systems Using First-Order Logic." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33465.

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The problem of motion planning for a class of dynamic systems is considered in this study. A knowledge-based approach is used to determine the initial conditions that will yield a certain desired state of the dynamic system. The search space is limited by using a set of rules because reasoning about dynamic systems is basically searching an infinite space. In this study, first-order logic is used for knowledge representation and reasoning. The methodology is applied to playing a pool game. The dynamics of the motion of the balls are complicated and significant expertise is required to know how
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Звіти організацій з теми "First order dynamic"

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Jason, Andrew J. First-order beam dynamics and RF parameters for the PSR short-bunch ("pulse-stacking") mode. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1060895.

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Kimhi, Ayal, Barry Goodwin, Ashok Mishra, Avner Ahituv, and Yoav Kislev. The dynamics of off-farm employment, farm size, and farm structure. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695877.bard.

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Objectives: (1) Preparing panel data sets for both the United States and Israel that contain a rich set of farm attributes, such as size, specialization, and output composition, and farmers’ characteristics such as off-farm employment status, education, and family composition. (2) Developing an empirical framework for the joint analysis of all the endogenous variables of interest in a dynamic setting. (3) Estimating simultaneous equations of the endogenous variables using the panel data sets from both countries. (4) Analyzing, using the empirical results, the possible effects of economic polic
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3

Bailey Bond, Robert, Pu Ren, James Fong, Hao Sun, and Jerome F. Hajjar. Physics-informed Machine Learning Framework for Seismic Fragility Analysis of Steel Structures. Northeastern University, 2024. http://dx.doi.org/10.17760/d20680141.

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The seismic assessment of structures is a critical step to increase community resilience under earthquake hazards. This research aims to develop a Physics-reinforced Machine Learning (PrML) paradigm for metamodeling of nonlinear structures under seismic hazards using artificial intelligence. Structural metamodeling, a reduced-fidelity surrogate model to a more complex structural model, enables more efficient performance-based design and analysis, optimizing structural designs and ease the computational effort for reliability fragility analysis, leading to globally efficient designs while maint
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Ajzenman, Nicolás, and Laura Jaitman. Crime Concentration and Hot Spot Dynamics in Latin America. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011745.

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Latin America and the Caribbean is the most violent region in the world, with an annual homicide rate of more than 20 per 100,000 population and with an increasing trend. Yet most evidence of crime concentration, geo-temporal patterns, and event dependence comes from cities in high-income countries. Understanding crime patterns in the region and how they compare to those in high-income countries is of first-order importance to formulate crime reduction policies. This paper is the first to analyze crime patterns of cities in five Latin American countries. Using micro-geographic units of analysi
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Borgwardt, Stefan, Marcel Lippmann, and Veronika Thost. Temporal Query Answering w.r.t. DL-Lite-Ontologies. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.195.

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Анотація:
Ontology-based data access (OBDA) generalizes query answering in relational databases. It allows to query a database by using the language of an ontology, abstracting from the actual relations of the database. For ontologies formulated in Description Logics of the DL-Lite family, OBDA can be realized by rewriting the query into a classical first-order query, e.g. an SQL query, by compiling the information of the ontology into the query. The query is then answered using classical database techniques. In this report, we consider a temporal version of OBDA. We propose a temporal query language th
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Gallien, Max, Giovanni Occhiali, and Hana Ross. An Overlooked Market: Loose Cigarettes, Informal Vendors, and Their Implications for Tobacco Taxation. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ictd.2023.004.

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Анотація:
Recent years have seen the development of a substantial literature on tobacco taxation that has both noted its effectiveness as a tobacco control tool, and provided modelling of its implications. However, studies of tobacco taxation and tobacco consumption have largely ignored a crucial aspect of the market for cigarettes in many low- and middle-income countries – the prevalence of loose (single) cigarettes being sold, rather than cigarette packs. We argue that ignoring this market leaves room for unexpected dynamics and unintended policy effects. We develop this argument by establishing four
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Regan, Jack, and Robin Zevotek. Evaluation of the Thermal Conditions and Smoke Obscuration of Live Fire Training Fuel Packages. UL Firefighter Safety Research Institute, 2019. http://dx.doi.org/10.54206/102376/karu4002.

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Анотація:
Firefighters routinely conduct live fire training in an effort to prepare themselves for the challenges of the fire ground. While conducting realistic live fire training is important, it also carries inherent risks. This is highlighted by several live fire training incidents in which an inappropriate fuel load contributed to the death of participants. NFPA 1403: Standard on Live Fire Training Evolutions was first established in response to a live fire training incident in which several firefighters died. Among the stipulations in NFPA 1403 is that the fuel load shall be composed of wood-based
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Wu, Yingjie, Selim Gunay, and Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/ytgv8834.

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Анотація:
Bridges often serve as key links in local and national transportation networks. Bridge closures can result in severe costs, not only in the form of repair or replacement, but also in the form of economic losses related to medium- and long-term interruption of businesses and disruption to surrounding communities. In addition, continuous functionality of bridges is very important after any seismic event for emergency response and recovery purposes. Considering the importance of these structures, the associated structural design philosophy is shifting from collapse prevention to maintaining funct
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Lafrancois, Toben, Mark Hove, and Jay Glase. Zebra mussel (Dreissena polymorpha) distribution in Apostle Islands National Lakeshore: SCUBA-based search and removal efforts: 2019–2020. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293376.

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Анотація:
Invasive zebra mussels (Dreissena polymorpha) were first observed in situ at Apostle Islands National Lakeshore (APIS) in 2015. This report builds on 2018 SCUBA surveys and Environmental Protection Agency (EPA) veliger sampling to: 1) determine whether shoals on APIS borders act as sentinel sites to corroborate veliger drift hypotheses about invasion pathways, 2) evaluate ongoing hand-removal of zebra mussels from easily identified structures, and 3) continue efforts to assess native unionid mussel populations, particularly where zebra mussels are also present. Standard catch per unit effort s
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OPTIMIZATION OF STIFFNESS AND DAMPING COEFFICIENTS OF CONNECTION DAMPERS TO REDUCE THE DYNAMIC RESPONSE OF TRANSMISSION LINE STEEL TOWERS SUBJECTED TO WIND ACTION. The Hong Kong Institute of Steel Construction, 2023. http://dx.doi.org/10.18057/ijasc.2023.19.3.6.

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Анотація:
Tall and slender latticed steel towers, such as power transmission line towers, are very susceptible to vibrations imposed mainly by wind action. Thus, changing the design layout or making use of vibration control devices is often necessary to reduce vibration amplitudes and avoid the collapse of the structure. In this work, an alternative to the conventional types of commercial dampers is the use of elements in the connections of the structure, such as rubber rings working like connection dampers, so they can dissipate the energy of the system reducing the dynamic response of the tower. Thus,
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