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Articoli di riviste sul tema "Control theory"

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Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 7 luglio 2024

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1

James, M. R. "Optimal Quantum Control Theory". Annual Review of Control, Robotics, and Autonomous Systems 4, n. 1 (3 maggio 2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.

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This article explains some fundamental ideas concerning the optimal control of quantum systems through the study of a relatively simple two-level system coupled to optical fields. The model for this system includes both continuous and impulsive dynamics. Topics covered include open- and closed-loop control, impulsive control, open-loop optimal control, quantum filtering, and measurement feedback optimal control.

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2

Marden, Jason R., e Jeff S. Shamma. "Game Theory and Control". Annual Review of Control, Robotics, and Autonomous Systems 1, n. 1 (28 maggio 2018): 105–34. http://dx.doi.org/10.1146/annurev-control-060117-105102.

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Game theory is the study of decision problems in which there are multiple decision makers and the quality of a decision maker's choice depends on both that choice and the choices of others. While game theory has been studied predominantly as a modeling paradigm in the mathematical social sciences, there is a strong connection to control systems in that a controller can be viewed as a decision-making entity. Accordingly, game theory is relevant in settings with multiple interacting controllers. This article presents an introduction to game theory, followed by a sampling of results in three specific control theory topics where game theory has played a significant role: ( a) zero-sum games, in which the two competing players are a controller and an adversarial environment; ( b) team games, in which several controllers pursue a common goal but have access to different information; and ( c) distributed control, in which both a game and online adaptive rules are designed to enable distributed interacting subsystems to achieve a collective objective.

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3

HERSHBERGER, WAYNE A. "Control Theory and Learning Theory". American Behavioral Scientist 34, n. 1 (settembre 1990): 55–66. http://dx.doi.org/10.1177/0002764290034001006.

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4

Shin, Seiichi. "Motion Control and Control Theory". IEEJ Transactions on Industry Applications 120, n. 1 (2000): 3–4. http://dx.doi.org/10.1541/ieejias.120.3.

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5

HOTZ, ANTHONY, e ROBERT E. SKELTON. "Covariance control theory". International Journal of Control 46, n. 1 (luglio 1987): 13–32. http://dx.doi.org/10.1080/00207178708933880.

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6

Cziko, Gary A. "Perceptual Control Theory". Educational Researcher 21, n. 9 (dicembre 1992): 25–27. http://dx.doi.org/10.3102/0013189x021009025.

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7

Elliott, D. L. "Geometric control theory". IEEE Transactions on Automatic Control 45, n. 2 (febbraio 2000): 376–77. http://dx.doi.org/10.1109/tac.2000.839969.

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8

Osipova, J. V. "Identity control theory". Moscow State University Bulletin. Series 18. Sociology and Political Science 22, n. 1 (1 gennaio 2016): 215–24. http://dx.doi.org/10.24290/1029-3736-2016-22-1-215-224.

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9

Hannon, Bruce. "Ecosystem control theory". Journal of Theoretical Biology 121, n. 4 (agosto 1986): 417–37. http://dx.doi.org/10.1016/s0022-5193(86)80100-x.

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10

Melzack, Ronald. "Gate control theory". Pain Forum 5, n. 2 (giugno 1996): 128–38. http://dx.doi.org/10.1016/s1082-3174(96)80050-x.

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11

Vakhrameev, S. A., e A. V. Sarychev. "Geometric control theory". Journal of Soviet Mathematics 40, n. 3 (febbraio 1988): 384–447. http://dx.doi.org/10.1007/bf01092893.

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12

Lefkowitz, I. "Applied control theory". Automatica 21, n. 1 (gennaio 1985): 110–11. http://dx.doi.org/10.1016/0005-1098(85)90104-9.

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13

Rodin, Ervin Y. "Semantic control theory". Applied Mathematics Letters 1, n. 1 (1988): 73–78. http://dx.doi.org/10.1016/0893-9659(88)90180-2.

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14

Wiendahl, Hans-Peter, e Jan-Wilhelm Breithaupt. "Automatic production control applying control theory". International Journal of Production Economics 63, n. 1 (gennaio 2000): 33–46. http://dx.doi.org/10.1016/s0925-5273(98)00253-9.

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15

Lewis, Andrew D. "The Bountiful Intersection of Differential Geometry, Mechanics, and Control Theory". Annual Review of Control, Robotics, and Autonomous Systems 1, n. 1 (28 maggio 2018): 135–58. http://dx.doi.org/10.1146/annurev-control-060117-105033.

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Abstract (sommario):

The areas of mechanics and control theory have a rich and productive history of interaction with the broad mathematical subject of differential geometry. This article provides an overview of these sorts of interplay in the areas of Riemannian and affine differential geometry and the geometry of vector distributions. It emphasizes areas where differential geometric methods have played a crucial role in solving problems whose solutions are difficult to achieve without access to these methods. It also emphasizes a concise and elegant presentation of the approach, rather than a detailed and concrete presentation. The results overviewed, while forming a coherent and elegant body of work, are limited in scope. The review closes with a discussion of why the approach is limited and a brief consideration of issues that must be resolved before the results of the type presented here can be extended.

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16

Parsanejad, Mohammadreza, Ebrahim Teimoury e Abozar Parsanejad. "Supply Chain Simulation and Modeling with Theory of Control". International Journal of Modeling and Optimization 4, n. 2 (febbraio 2014): 167–70. http://dx.doi.org/10.7763/ijmo.2014.v4.367.

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17

van der Schaft, Arjan. "Port-Hamiltonian Modeling for Control". Annual Review of Control, Robotics, and Autonomous Systems 3, n. 1 (3 maggio 2020): 393–416. http://dx.doi.org/10.1146/annurev-control-081219-092250.

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This article provides a concise summary of the basic ideas and concepts in port-Hamiltonian systems theory and its use in analysis and control of complex multiphysics systems. It gives special attention to new and unexplored research directions and relations with other mathematical frameworks. Emergent control paradigms and open problems are indicated, including the relation with thermodynamics and the question of uniting the energy-processing view of control, as emphasized by port-Hamiltonian systems theory, with a complementary information-processing viewpoint.

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18

Chen, Can, Amit Surana, Anthony M. Bloch e Indika Rajapakse. "Multilinear Control Systems Theory". SIAM Journal on Control and Optimization 59, n. 1 (gennaio 2021): 749–76. http://dx.doi.org/10.1137/19m1262589.

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19

ABE, Hiroshi. "Nutrition and Control Theory". Journal of Nutritional Science and Vitaminology 37, Supplement (1991): S5—S12. http://dx.doi.org/10.3177/jnsv.37.supplement_s5.

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20

Tittle, Charles R., e Jack P. Gibbs. "A Theory about Control." Social Forces 75, n. 1 (settembre 1996): 346. http://dx.doi.org/10.2307/2580778.

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21

Tittle, Charles R., e Jack P. Gibbs. "A Theory about Control." Social Forces 75, n. 2 (dicembre 1996): 743. http://dx.doi.org/10.2307/2580421.

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22

Deflem, Mathieu, e Jack P. Gibbs. "A Theory About Control." Contemporary Sociology 25, n. 4 (luglio 1996): 571. http://dx.doi.org/10.2307/2077152.

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23

Tittle, Charles R. "Refining control balance theory". Theoretical Criminology 8, n. 4 (novembre 2004): 395–428. http://dx.doi.org/10.1177/1362480604046657.

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24

Skolnick, Jerome. "Urban Crime Control Theory". Theoretical Criminology 3, n. 2 (maggio 1999): 231–38. http://dx.doi.org/10.1177/1362480699003002006.

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25

Ditton, Jason. "Urban Crime Control Theory". Theoretical Criminology 3, n. 2 (maggio 1999): 239–42. http://dx.doi.org/10.1177/1362480699003002007.

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26

BELL, D. J., e X. Y. LU. "Differential algebraic control theory". IMA Journal of Mathematical Control and Information 9, n. 4 (1992): 361–83. http://dx.doi.org/10.1093/imamci/9.4.361.

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27

Werschnik, J., e E. K. U. Gross. "Quantum optimal control theory". Journal of Physics B: Atomic, Molecular and Optical Physics 40, n. 18 (4 settembre 2007): R175—R211. http://dx.doi.org/10.1088/0953-4075/40/18/r01.

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28

Kawan, Christoph. "Uniformly hyperbolic control theory". Annual Reviews in Control 44 (2017): 89–96. http://dx.doi.org/10.1016/j.arcontrol.2017.02.001.

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29

Jacobs, O. L. R. "Modern control system theory". Automatica 22, n. 2 (marzo 1986): 258–59. http://dx.doi.org/10.1016/0005-1098(86)90092-0.

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30

OHLIN, JENS DAVID, ELIES VAN SLIEDREGT e THOMAS WEIGEND. "Assessing the Control-Theory". Leiden Journal of International Law 26, n. 3 (31 luglio 2013): 725–46. http://dx.doi.org/10.1017/s0922156513000319.

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AbstractAs the first cases before the ICC proceed to the Appeals Chamber, the judges ought to critically evaluate the merits and demerits of the control-theory of perpetratorship and its related doctrines. The request for a possible recharacterization of the form of responsibility in the case ofKatangaand the recent acquittal of Ngudjolo can be taken as indications that the control-theory is problematic as a theory of liability. The authors, in a spirit of constructive criticism, invite the ICC Appeals Chamber to take this unique opportunity to reconsider or improve the control-theory as developed by the Pre-Trial Chambers in theLubangaandKatangacases.

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31

LIAO, JAMES C., e JAVIER DELGADO. "Dynamic Metabolic Control Theory." Annals of the New York Academy of Sciences 665, n. 1 Biochemical E (ottobre 1992): 27–38. http://dx.doi.org/10.1111/j.1749-6632.1992.tb42571.x.

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32

Wallace, David. "Thermodynamics as Control Theory". Entropy 16, n. 2 (24 gennaio 2014): 699–725. http://dx.doi.org/10.3390/e16020699.

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33

FORD, EDWARD E. "On Understanding Control Theory". American Behavioral Scientist 34, n. 1 (settembre 1990): 117–18. http://dx.doi.org/10.1177/0002764290034001012.

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34

ARIMOTO, Suguru. "Theory of Learning Control". Journal of the Society of Mechanical Engineers 93, n. 856 (1990): 180–86. http://dx.doi.org/10.1299/jsmemag.93.856_180.

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35

TSUCHIYA, Takeshi. "Theory of Preview Control". Journal of the Society of Mechanical Engineers 93, n. 856 (1990): 192–97. http://dx.doi.org/10.1299/jsmemag.93.856_192.

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36

Farrell, F. T., e L. E. Jones. "Foliated control theory I". K-Theory 2, n. 3 (maggio 1988): 357–99. http://dx.doi.org/10.1007/bf00533389.

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37

Farrell, F. T., e L. E. Jones. "Foliated control theory, II". K-Theory 2, n. 3 (maggio 1988): 401–30. http://dx.doi.org/10.1007/bf00533390.

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38

Diop, Sette. "Elimination in control theory". Mathematics of Control, Signals, and Systems 4, n. 1 (marzo 1991): 17–32. http://dx.doi.org/10.1007/bf02551378.

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39

MITA, Tsutomu, e Shinji WAKUI. "Control of robots using modern control theory." Journal of the Japan Society for Precision Engineering 54, n. 5 (1988): 811–16. http://dx.doi.org/10.2493/jjspe.54.811.

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40

Zhengtao Ding, Zairong Xi e Hong Wang. "Quantum mechanics, control theory and quantum control". Transactions of the Institute of Measurement and Control 30, n. 1 (marzo 2008): 17–32. http://dx.doi.org/10.1177/0142331207083485.

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41

Egami, T., e T. Tsuchiya. "PWM Inverter Control by System Control Theory". IFAC Proceedings Volumes 23, n. 8 (agosto 1990): 527–32. http://dx.doi.org/10.1016/s1474-6670(17)51877-7.

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42

Ros, Javier, Alberto Casas, Jasiel Najera e Isidro Zabalza. "64048 QUANTITATIVE FEEDBACK THEORY CONTROL OF A HEXAGLIDE TYPE PARALLEL MANIPULATOR(Control of Multibody Systems)". Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _64048–1_—_64048–10_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._64048-1_.

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43

Vakhrameev, S. A. "Morse theory and Lyusternik-Shnirelman theory in geometric control theory". Journal of Mathematical Sciences 71, n. 3 (settembre 1994): 2434–85. http://dx.doi.org/10.1007/bf02111558.

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44

Olejniczak, Tomasza, e Kishi Yasuyuki. "Bureaucracy and Culture: Toward Two-Factor Theory of Organizational Control". Management and Business Administration. Central Europe 22, n. 1 (15 marzo 2014): 70–87. http://dx.doi.org/10.7206/mba.ce.2084-3356.91.

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45

Daund, Arvind, Shrihari Mahishi e Nirnay Berde. "Synchronization of Parallel Dual Inverted Pendulums using Optimal Control Theory". SIJ Transactions on Advances in Space Research & Earth Exploration 2, n. 2 (11 aprile 2014): 7–11. http://dx.doi.org/10.9756/sijasree/v2i2/0202520301.

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46

Madhav, Manu S., e Noah J. Cowan. "The Synergy Between Neuroscience and Control Theory: The Nervous System as Inspiration for Hard Control Challenges". Annual Review of Control, Robotics, and Autonomous Systems 3, n. 1 (3 maggio 2020): 243–67. http://dx.doi.org/10.1146/annurev-control-060117-104856.

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Here, we review the role of control theory in modeling neural control systems through a top-down analysis approach. Specifically, we examine the role of the brain and central nervous system as the controller in the organism, connected to but isolated from the rest of the animal through insulated interfaces. Though biological and engineering control systems operate on similar principles, they differ in several critical features, which makes drawing inspiration from biology for engineering controllers challenging but worthwhile. We also outline a procedure that the control theorist can use to draw inspiration from the biological controller: starting from the intact, behaving animal; designing experiments to deconstruct and model hierarchies of feedback; modifying feedback topologies; perturbing inputs and plant dynamics; using the resultant outputs to perform system identification; and tuning and validating the resultant control-theoretic model using specially engineered robophysical models.

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47

HARAMAKI, Shinya, Akihiro HAYASHI, Toshifumi SATAKE e Shigeru AOMURA. "Distributed Cooperative Control System for Multi-jointed Redundant Manipulator(Control Theory and Application,Session: MA1-B)". Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2004.4 (2004): 21. http://dx.doi.org/10.1299/jsmeicam.2004.4.21_2.

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48

FUKUSHIMA, Naoto, Syo OTA, Mehmet Selcuk ARSLAN e Ichiro HAGIWARA. "B10 Energy Optimal Control Theory : An Optimal Control Theory Based on a New Framework of Control Problem". Proceedings of the Symposium on the Motion and Vibration Control 2009.11 (2009): 109–13. http://dx.doi.org/10.1299/jsmemovic.2009.11.109.

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49

Fujiwara, Yukihiro, e Nobuo Sugitani. "Application of Control Theory for Automotive Control System". IEEJ Transactions on Electronics, Information and Systems 118, n. 3 (1998): 297–300. http://dx.doi.org/10.1541/ieejeiss1987.118.3_297.

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50

Ohishi, Kiyoshi, Masaru Miyazaki e Masahiro Fujita. "Sensorless Force Control Based on H.INF. Control Theory." IEEJ Transactions on Industry Applications 112, n. 9 (1992): 852–61. http://dx.doi.org/10.1541/ieejias.112.852.

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