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Journal articles on the topic 'Observation-Control'

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Author: Grafiati

Published: 4 May 2024

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1

Hirano, Takaaki, Weixi Wang, Satoshi Yamane, Toru Nakajima, Kazumichi Hosoya, and Hikaru Yamamoto. "Observation and Control of Keyhole in Robotic Plasma Welding." QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY 35, no. 2 (2017): 173s—176s. http://dx.doi.org/10.2207/qjjws.35.173s.

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2

Sinopoli, Bruno, Luca Schenato, Massimo Franceschetti, Kameshwar Poolla, and Shankar Sastry. "LQG CONTROL WITH MISSING OBSERVATION AND CONTROL PACKETS." IFAC Proceedings Volumes 38, no. 1 (2005): 1–6. http://dx.doi.org/10.3182/20050703-6-cz-1902.00860.

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3

Wada, Atsushi, Akira Asakawa, and Takatoshi Shindo. "Observation of Winter Lightning Using Remote Control Lightning Observation System." IEEJ Transactions on Power and Energy 116, no. 4 (1996): 386–94. http://dx.doi.org/10.1541/ieejpes1990.116.4_386.

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4

Tiantian Miao, Tiantian Miao, Chin-Feng Lai Tiantian Miao, Jian Shen Chin-Feng Lai, Baojun Liu Jian Shen, and Chen Wang Baojun Liu. "A Dynamic Access Control Scheme with Conditional Anonymity in Socio-Meteorological Observation." 網際網路技術學刊 24, no. 5 (September 2023): 1017–25. http://dx.doi.org/10.53106/160792642023092405001.

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<p>Socio-meteorological observation is an essential part of meteorological information construction, where unofficial organizations and individuals (volunteers) are employed to collect meteorological data. Thanks to the participation of social forces, the density and richness of meteorological data are improved significantly, and hence more economical and social benefits are brought. However, problems such as privacy leakage and data islands hamper the sustainable development of socio-meteorological observation. To solve the problems, we propose a dynamic access control scheme with conditional anonymity in socio-meteorological observation. In the proposed scheme, conditional anonymity of volunteers is supported. On the one hand, the real identity of each valid volunteer is private; On the other hand, the real identity of the malicious volunteers will be revealed if they attempt to inject erroneous meteorological data into the system. In addition, a lazy update mechanism is designed, where the fluidity of the volunteers and attribute revocation of the data users are fully considered. Finally, we compare the proposed scheme with similar schemes theoretically and experimentally.</p> <p> </p>

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5

Setapa, Sharipah, and Tengku Puteri Suhilah. "An Access Control List for Role-Based System: An Observation and Recommendation." International Journal of Information and Education Technology 4, no. 6 (2014): 468–72. http://dx.doi.org/10.7763/ijiet.2014.v4.452.

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6

Kurizki, Gershon, and Abraham G. Kofman. "Quantum Lamarckism: observation, control and decoherence." Physica Scripta 93, no. 12 (October 25, 2018): 124003. http://dx.doi.org/10.1088/1402-4896/aae518.

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7

Mazziotto, G., L. Stettner, J. Szpirglas, and J. Zabczyk. "On Impulse Control with Partial Observation." SIAM Journal on Control and Optimization 26, no. 4 (July 1988): 964–84. http://dx.doi.org/10.1137/0326052.

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8

Tornambe`, A. "Control Laws Based on Parameter Observation." Journal of Dynamic Systems, Measurement, and Control 114, no. 2 (June 1, 1992): 186–95. http://dx.doi.org/10.1115/1.2896514.

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This paper deals with the use of asymptotic observers in the parameter estimation. Exact and approximate procedures are proposed taking into account the nonlinear behaviour of the dynamic systems considered. It is shown that a separation property holds for sufficiently fast observers and, therefore, that parameter estimates obtained by asymptotic observers are useful for the implementation of feedback control laws. The paper is completed with an application to flexible robot arms for the estimation of the elastic constant. Simulation tests are included.

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9

Lee, M. S., and J. T. Lim *. "Optimal supervisory control under partial observation." International Journal of Systems Science 36, no. 4 (March 15, 2005): 235–42. http://dx.doi.org/10.1080/00207720500032697.

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10

Jasani, Bhupendra. "Arms control and conflict observation satellites." Space Policy 1, no. 4 (November 1985): 363–68. http://dx.doi.org/10.1016/0265-9646(85)90003-7.

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11

Mazliak, Laurent. "Mixed control problem under partial observation." Applied Mathematics & Optimization 27, no. 1 (January 1993): 57–84. http://dx.doi.org/10.1007/bf01182598.

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12

SASAKI, Naruo, and Koji MIYAKE. "Observation and Control of Micro Energy." Vacuum and Surface Science 63, no. 5 (May 10, 2020): 222. http://dx.doi.org/10.1380/vss.63.222.

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13

Stettner, Lukasz. "Long Run Control with Degenerate Observation." SIAM Journal on Control and Optimization 57, no. 2 (January 2019): 880–99. http://dx.doi.org/10.1137/18m1196844.

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14

Mizutani, W. "Observation and control of adsorbed molecules." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 9, no. 2 (March 1991): 1102. http://dx.doi.org/10.1116/1.585269.

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15

Shtessel, Yuri, Leonid Fridman, and Franck Plestan. "Adaptive sliding mode control and observation." International Journal of Control 89, no. 9 (September 2016): 1743–46. http://dx.doi.org/10.1080/00207179.2016.1194531.

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16

Gabasov, R., and F. M. Kirillova. "Real-time optimal control and observation." Journal of Computer and Systems Sciences International 45, no. 3 (May 2006): 421–41. http://dx.doi.org/10.1134/s1064230706030099.

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17

Guelman, Mauricio M., and Alexander Shiryaev. "Closed-Loop Control of Earth Observation Satellites." Journal of Spacecraft and Rockets 56, no. 1 (January 2019): 82–90. http://dx.doi.org/10.2514/1.a34134.

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18

Chatelain, G., N. Dupont, M. Arnal, V. Brunaud, J. Billy, B. Peaudecerf, P. Schlagheck, and D. Guéry-Odelin. "Observation and control of quantized scattering halos." New Journal of Physics 22, no. 12 (December 1, 2020): 123032. http://dx.doi.org/10.1088/1367-2630/abcf6a.

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19

Strait, E. J., A. M. Garofalo, M. E. Austin, J. M. Bialek, M. S. Chu, E. D. Fredrickson, L. L. Lao, et al. "Observation and control of resistive wall modes." Nuclear Fusion 39, no. 11Y (November 1999): 1977–82. http://dx.doi.org/10.1088/0029-5515/39/11y/343.

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20

Yeong-Ruey Sheh and Cheng-Wen Wu. "Control and observation structures for analog circuits." IEEE Design & Test of Computers 15, no. 2 (1998): 56–64. http://dx.doi.org/10.1109/54.679208.

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21

Haussmann, U. G., and Q. Zhang. "Stochastic adaptive control with small observation noise." Stochastics and Stochastic Reports 32, no. 3-4 (October 1990): 109–44. http://dx.doi.org/10.1080/17442509008833656.

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22

Gietzmann, Miles B., and Michael J. P. Selby. "Cost-variance-based control with noisy observation." European Accounting Review 3, no. 1 (January 1994): 1–14. http://dx.doi.org/10.1080/09638189400000001.

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23

Gholami, Alireza, and Amir H. D. Markazi. "DIRECT ADAPTIVE FUZZY SLIDING OBSERVATION AND CONTROL." Transactions of the Canadian Society for Mechanical Engineering 36, no. 4 (December 2012): 329–42. http://dx.doi.org/10.1139/tcsme-2012-0023.

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In this paper, a new direct adaptive fuzzy sliding observation and control (AFSOC) method is proposed. The method can be applied to a class of unknown nonlinear systems. The proposed observer estimates the closed-loop state tracking error asymptotically, provided that the output gain matrix includes Hurwitz coefficients. The chattering phenomenon is overcome by using a boundary layer around the sliding surface. The stability of the AFSOC method is proved using the Lyapunov stability theory. Numerical simulation on a benchmark chaotic system depicts the effectiveness of the proposed algorithm.

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24

Guillaume, D., and P. Rouchon. "Observation and Control of a Simplified Car." IFAC Proceedings Volumes 31, no. 27 (September 1998): 55–59. http://dx.doi.org/10.1016/s1474-6670(17)40005-x.

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25

SAKURAI, Yuki, Yasunari KAMADA, Takao MAEDA, and Tomoaki HIGUCHI. "Wind turbine control with inflow wind observation." Proceedings of Mechanical Engineering Congress, Japan 2018 (2018): J0510305. http://dx.doi.org/10.1299/jsmemecj.2018.j0510305.

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26

Miller, B. M. "Observation Control for Discrete-continuous Stochastic Systems." IFAC Proceedings Volumes 26, no. 2 (July 1993): 271–74. http://dx.doi.org/10.1016/s1474-6670(17)49125-7.

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27

Lafortune, Stéphane. "Discrete Event Systems: Modeling, Observation, and Control." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (May 3, 2019): 141–59. http://dx.doi.org/10.1146/annurev-control-053018-023659.

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This article begins with an introduction to the modeling of discrete event systems, a class of dynamical systems with discrete states and event-driven dynamics. It then focuses on logical discrete event models, primarily automata, and reviews observation and control problems and their solution methodologies. Specifically, it discusses diagnosability and opacity in the context of partially observed discrete event systems. It then discusses supervisory control for both fully and partially observed systems. The emphasis is on presenting fundamental results first, followed by a discussion of current research directions.

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28

Miller, B. M. "Observation control for discrete-continuous stochastic systems." IEEE Transactions on Automatic Control 45, no. 5 (May 2000): 993–98. http://dx.doi.org/10.1109/9.855571.

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29

Øksendal, B., and A. Sulem. "Partial observation control in an anticipating environment." Russian Mathematical Surveys 59, no. 2 (April 30, 2004): 355–75. http://dx.doi.org/10.1070/rm2004v059n02abeh000723.

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30

Shuang, Feng, Alexander Pechen, Tak-San Ho, and Herschel Rabitz. "Observation-assisted optimal control of quantum dynamics." Journal of Chemical Physics 126, no. 13 (April 7, 2007): 134303. http://dx.doi.org/10.1063/1.2711806.

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31

Gabasov, R., F. M. Kirillova, and N. S. Pavlenok. "Optimal observation and control in linear systems." Journal of Mathematical Sciences 139, no. 5 (December 2006): 6835–62. http://dx.doi.org/10.1007/s10958-006-0396-z.

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32

Privat, Yannick, Emmanuel Trélat, and Enrique Zuazua. "Randomised observation, control and stabilization of waves." ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 96, no. 5 (March 14, 2016): 538–49. http://dx.doi.org/10.1002/zamm.201500181.

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33

Stott, James E., and Yuri B. Shtessel. "Launch vehicle attitude control using sliding mode control and observation techniques." Journal of the Franklin Institute 349, no. 2 (March 2012): 397–412. http://dx.doi.org/10.1016/j.jfranklin.2011.07.020.

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34

Nersessyan, A. B. "About some studies on optimal control and observation." Mechanics - Proceedings of National Academy of Sciences of Armenia 68, no. 4 (2015): 62–73. http://dx.doi.org/10.33018/68.4.6.

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35

El Yacoubi, Samira, Théo Plénet, Sara Dridi, Franco Bagnoli, Laurent Lefèvre, and Clément Raïevsky. "Some Control and Observation Issues in Cellular Automata." Complex Systems 30, no. 3 (September 15, 2021): 391–413. http://dx.doi.org/10.25088/complexsystems.30.3.391.

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This review article focuses on studying problems of observability and controllability of cellular automata (CAs) considered in the context of control theory, an important feature of which is the adoption of a state-space model. Our work first consists in generalizing the obtained results to systems described by CAs considered as the discrete counterpart of partial differential equations, and in exploring possible approaches to prove controllability and observability. After having introduced the notion of control and observation in cellular automata models, in a similar way to the case of discrete-time distributed parameter systems, we investigate these key concepts of control theory in the case of complex systems. For the controllability issue, the Boolean class is particularly studied and applied to the regional case, while the observability is approached in the general case and related to the reconstructibility problem for linear or nonlinear CAs.

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36

YOKOYAMA, JUN, HISAE KASAI, SATOMI MORI, HIROSHI HAYASHI, and MAMORU YOSHIMIZU. "Bacteriological observation of fishing port for hygiene control." NIPPON SUISAN GAKKAISHI 76, no. 1 (2010): 62–67. http://dx.doi.org/10.2331/suisan.76.62.

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37

Nie, Tianyang, and Ke Yan. "Extended mean-field control problem with partial observation." ESAIM: Control, Optimisation and Calculus of Variations 28 (2022): 17. http://dx.doi.org/10.1051/cocv/2022010.

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We study an extended mean-field control problem with partial observation, where the dynamic of the state is given by a forward-backward stochastic differential equation of McKean-Vlasov type. The cost functional, the state and the observation all depend on the joint distribution of the state and the control process. Our problem is motivated by the recent popular subject of mean-field games and related control problems of McKean-Vlasov type. We first establish a necessary condition in the form of Pontryagin’s maximum principle for optimality. Then a verification theorem is obtained for optimal control under some convex conditions of the Hamiltonian function. The results are also applied to studying linear-quadratic mean-filed control problem in the type of scalar interaction.

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38

Jiang, Chunsheng, Yongjie Liu, Yu Jiang, and Hengnian Li. "Orbital Design and Control for Jupiter-Observation Spacecraft." Aerospace 8, no. 10 (October 1, 2021): 282. http://dx.doi.org/10.3390/aerospace8100282.

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This paper investigates the evolution of orbits around Jupiter and designs a sun-synchronous repeating ground track orbit. In the dynamical models, the leading terms of the Jupiter’s oblateness are J2 and J4 terms. A reasonable range of ground track repetition parameter Q is given and the best observation orbit elements are selected. Meanwhile, the disturbing function acting on the navigation spacecraft is the atmospheric drag and the third body. The law of altitude decay of the spacecraft’s semimajor orbit axis caused by the atmospheric drag is studied, and the inclination perturbation caused by the sun’s gravity is analyzed. This paper designs a semimajor axis compensation strategy to maintain the orbit’s repeatability and proposes an initial inclination prebiased strategy to limit the local time at the descending node in a permitted range. In particular, these two methods are combined in the context of sun-synchronous repeating ground track orbit for better observation of the surface of Jupiter.

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39

Ji, Yiding, Xiang Yin, and Wei Xiao. "Local Mean Payoff Supervisory Control under Partial Observation." IFAC-PapersOnLine 53, no. 4 (2020): 390–96. http://dx.doi.org/10.1016/j.ifacol.2021.04.066.

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40

Solodyannikov, Yu V. "Control and observation for dynamical queueing networks. I." Automation and Remote Control 75, no. 3 (March 2014): 422–46. http://dx.doi.org/10.1134/s0005117914030023.

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41

Solodyannikov, Yu V. "Control and observation for dynamical queueing networks. II." Automation and Remote Control 75, no. 5 (May 2014): 880–99. http://dx.doi.org/10.1134/s0005117914050075.

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42

Le Ballois, Sandrine, and Gilles Duc. "H-infinity control of an Earth observation satellite." Journal of Guidance, Control, and Dynamics 19, no. 3 (May 1996): 628–35. http://dx.doi.org/10.2514/3.21667.

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43

Saito, Mitsuyuki, Hiroto Kirita, Wataru Wakita, and Yasuhide Kobayashi. "Stochastic Output Feedback Control Assuming Output-Observation Noise." IEEJ Transactions on Electronics, Information and Systems 136, no. 8 (2016): 1071–77. http://dx.doi.org/10.1541/ieejeiss.136.1071.

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44

TAKAI, Shigemasa, Satoru KUSUMOTO, and Shinzo KODAMA. "Modular Control of Petri Nets under Partial Observation." Transactions of the Institute of Systems, Control and Information Engineers 9, no. 12 (1996): 598–605. http://dx.doi.org/10.5687/iscie.9.598.

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45

Kao, Minghui, and John J. Moskwa. "Nonlinear Diesel Engine Control and Cylinder Pressure Observation." Journal of Dynamic Systems, Measurement, and Control 117, no. 2 (June 1, 1995): 183–92. http://dx.doi.org/10.1115/1.2835178.

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This paper presents novel approaches to nonlinear engine fuel controller and cylinder pressure observer designs based on mean torque production and cylinder-by-cylinder models. Sliding mode controllers and sliding mode observers have shown good robustness and high tracking performance. Accordingly, they are selected in this study to fulfill demanding engine electronic control and onboard diagnostics requirements.

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46

Dainson, B. E., B. Tartakovsky, D. R. Lewin, and M. Sheintuch. "Variable Structure Models in Process Observation and Control." Industrial & Engineering Chemistry Research 34, no. 9 (September 1995): 3008–13. http://dx.doi.org/10.1021/ie00048a012.

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47

Buzzell, George A., Tyson V. Barker, Sonya V. Troller-Renfree, Edward M. Bernat, Maureen E. Bowers, Santiago Morales, Lindsay C. Bowman, Heather A. Henderson, Daniel S. Pine, and Nathan A. Fox. "Adolescent cognitive control, theta oscillations, and social observation." NeuroImage 198 (September 2019): 13–30. http://dx.doi.org/10.1016/j.neuroimage.2019.04.077.

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48

Kirichenko, N. F., and V. T. Matvienko. "General solution of terminal control and observation problems." Cybernetics and Systems Analysis 36, no. 2 (March 2000): 219–28. http://dx.doi.org/10.1007/bf02678668.

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49

Lüder, T., G. Wozny, G. Fieg, and L. Jeromin. "Model Based Observation and Control of Distillation Columns." IFAC Proceedings Volumes 22, no. 8 (August 1989): 41–47. http://dx.doi.org/10.1016/s1474-6670(17)53337-6.

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50

Dhbaibi, Sadok, Ali Sghaïer Tlili, Salwa Elloumi, and Naceur Benhadj Braiek. "decentralized observation and control of nonlinear interconnected systems." ISA Transactions 48, no. 4 (October 2009): 458–67. http://dx.doi.org/10.1016/j.isatra.2009.05.006.

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