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Artículos de revistas sobre el tema "Partially observed systems"

Autor: Grafiati

Publicado: 22 de febrero de 2025

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1

Chédor, Sébastien, Christophe Morvan, Sophie Pinchinat y Hervé Marchand. "Analysis of partially observed recursive tile systems". IFAC Proceedings Volumes 45, n.º 29 (2012): 265–71. http://dx.doi.org/10.3182/20121003-3-mx-4033.00044.

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2

Zhou, Changyan y Ratnesh Kumar. "Bisimilarity Control of Partially Observed Deterministic Systems". IEEE Transactions on Automatic Control 52, n.º 9 (septiembre de 2007): 1642–53. http://dx.doi.org/10.1109/tac.2007.904470.

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3

Gupta, Deepak y Sanjib Sabhapandit. "Entropy production for partially observed harmonic systems". Journal of Statistical Mechanics: Theory and Experiment 2020, n.º 1 (8 de enero de 2020): 013204. http://dx.doi.org/10.1088/1742-5468/ab54b6.

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4

Aggoun, Lakhdar y Lakdere Benkherouf. "FILTERING OF PARTIALLY OBSERVED STOCHASTIC MULTICOMPARTMENTAL SYSTEMS". Stochastic Analysis and Applications 19, n.º 2 (27 de marzo de 2001): 171–82. http://dx.doi.org/10.1081/sap-100001636.

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5

Achhab, M. E. y S. Cherkaoui. "Stabilization of partially observed stochastic evolution systems". Systems & Control Letters 13, n.º 1 (julio de 1989): 73–79. http://dx.doi.org/10.1016/0167-6911(89)90023-6.

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6

Bertrand, Pierre. "Adaptive control of partially observed linear stochastic systems". Stochastics and Stochastic Reports 54, n.º 1-2 (agosto de 1995): 21–51. http://dx.doi.org/10.1080/17442509508833997.

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7

Yip, Paul. "Nonparametric estimation of partially observed stochastic multicompartmental systems". Stochastic Analysis and Applications 5, n.º 3 (enero de 1987): 353–63. http://dx.doi.org/10.1080/07362998708809122.

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8

Paulin, Daniel, Ajay Jasra, Dan Crisan y Alexandros Beskos. "On concentration properties of partially observed chaotic systems". Advances in Applied Probability 50, n.º 2 (junio de 2018): 440–79. http://dx.doi.org/10.1017/apr.2018.21.

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AbstractIn this paper we present results on the concentration properties of the smoothing and filtering distributions of some partially observed chaotic dynamical systems. We show that, rather surprisingly, for the geometric model of the Lorenz equations, as well as some other chaotic dynamical systems, the smoothing and filtering distributions do not concentrate around the true position of the signal, as the number of observations tends to ∞. Instead, under various assumptions on the observation noise, we show that the expected value of the diameter of the support of the smoothing and filtering distributions remains lower bounded by a constant multiplied by the standard deviation of the noise, independently of the number of observations. Conversely, under rather general conditions, the diameter of the support of the smoothing and filtering distributions are upper bounded by a constant multiplied by the standard deviation of the noise. To some extent, applications to the three-dimensional Lorenz 63 model and to the Lorenz 96 model of arbitrarily large dimension are considered.

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9

Cutland, Nigel J. y Tom Lindstr�m. "Random relaxed controls and partially observed stochastic systems". Acta Applicandae Mathematicae 32, n.º 2 (agosto de 1993): 157–82. http://dx.doi.org/10.1007/bf00998151.

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10

Imani, Mahdi y Ulisses M. Braga-Neto. "Particle filters for partially-observed Boolean dynamical systems". Automatica 87 (enero de 2018): 238–50. http://dx.doi.org/10.1016/j.automatica.2017.10.009.

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11

Paulin, Daniel, Ajay Jasra, Dan Crisan y Alexandros Beskos. "Optimization Based Methods for Partially Observed Chaotic Systems". Foundations of Computational Mathematics 19, n.º 3 (25 de abril de 2018): 485–559. http://dx.doi.org/10.1007/s10208-018-9388-x.

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12

Ouala, S., D. Nguyen, L. Drumetz, B. Chapron, A. Pascual, F. Collard, L. Gaultier y R. Fablet. "Learning latent dynamics for partially observed chaotic systems". Chaos: An Interdisciplinary Journal of Nonlinear Science 30, n.º 10 (octubre de 2020): 103121. http://dx.doi.org/10.1063/5.0019309.

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13

Wang, Zheming, Raphaël M. Jungers, Mihály Petreczky, Bo Chen y Li Yu. "Learning stability of partially observed switched linear systems". Automatica 164 (junio de 2024): 111643. http://dx.doi.org/10.1016/j.automatica.2024.111643.

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14

Tandeo, Pierre, Pierre Ailliot y Florian Sévellec. "Data-driven reconstruction of partially observed dynamical systems". Nonlinear Processes in Geophysics 30, n.º 2 (9 de junio de 2023): 129–37. http://dx.doi.org/10.5194/npg-30-129-2023.

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Abstract. The state of the atmosphere, or of the ocean, cannot be exhaustively observed. Crucial parts might remain out of reach of proper monitoring. Also, defining the exact set of equations driving the atmosphere and ocean is virtually impossible because of their complexity. The goal of this paper is to obtain predictions of a partially observed dynamical system without knowing the model equations. In this data-driven context, the article focuses on the Lorenz-63 system, where only the second and third components are observed and access to the equations is not allowed. To account for those strong constraints, a combination of machine learning and data assimilation techniques is proposed. The key aspects are the following: the introduction of latent variables, a linear approximation of the dynamics and a database that is updated iteratively, maximizing the likelihood. We find that the latent variables inferred by the procedure are related to the successive derivatives of the observed components of the dynamical system. The method is also able to reconstruct accurately the local dynamics of the partially observed system. Overall, the proposed methodology is simple, is easy to code and gives promising results, even in the case of small numbers of observations.

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15

Tanikawa, Akio y Yuichi Sawada. "Identification of Unknown Parameters of Partially Observed Discrete-time Stochastic Systems by Using Pseudomeasurements". Transactions of the Institute of Systems, Control and Information Engineers 27, n.º 12 (2014): 461–68. http://dx.doi.org/10.5687/iscie.27.461.

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16

TAKAI, Shigemasa. "Supervisory Control of Partially Observed Systems via Synchronous Composition". Transactions of the Institute of Systems, Control and Information Engineers 11, n.º 5 (1998): 277–79. http://dx.doi.org/10.5687/iscie.11.277.

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17

Takai, Shigemasa. "Robust Failure Diagnosis of Partially Observed Discrete Event Systems". IFAC Proceedings Volumes 43, n.º 12 (2010): 205–10. http://dx.doi.org/10.3182/20100830-3-de-4013.00035.

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18

Ugrinovskii, Valery A. y Ian R. Petersen. "Minimax LQG Control of Stochastic Partially Observed Uncertain Systems". SIAM Journal on Control and Optimization 40, n.º 4 (enero de 2002): 1189–226. http://dx.doi.org/10.1137/s0363012998349352.

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19

Chattopadhyay, I. y A. Ray. "A language measure for partially observed discrete event systems". International Journal of Control 79, n.º 9 (septiembre de 2006): 1074–86. http://dx.doi.org/10.1080/00207170600752473.

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20

Komenda, Jan. "Coinduction in Control of Partially Observed Discrete-Event Systems". Electronic Notes in Theoretical Computer Science 82, n.º 1 (julio de 2003): 150–69. http://dx.doi.org/10.1016/s1571-0661(04)80637-6.

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21

Thistle, J. G. y H. M. Lamouchi. "Effective Control Synthesis for Partially Observed Discrete-Event Systems". SIAM Journal on Control and Optimization 48, n.º 3 (enero de 2009): 1858–87. http://dx.doi.org/10.1137/060673862.

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22

Bensoussan, Alain, Metin Çakanyildirim, J. Adolfo Minjárez-Sosa, Suresh P. Sethi y Ruixia Shi. "Partially Observed Inventory Systems: The Case of Rain Checks". SIAM Journal on Control and Optimization 47, n.º 5 (enero de 2008): 2490–519. http://dx.doi.org/10.1137/070688663.

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23

Wang, B. y D. M. Titterington. "Variational Bayesian inference for partially observed stochastic dynamical systems". Journal of Physics: Conference Series 143 (7 de enero de 2009): 012022. http://dx.doi.org/10.1088/1742-6596/143/1/012022.

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24

Prosser, J. H., M. Kam y H. G. Kwatny. "Online supervisor synthesis for partially observed discrete-event systems". IEEE Transactions on Automatic Control 43, n.º 11 (1998): 1630–34. http://dx.doi.org/10.1109/9.728885.

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25

Heymann, Michael y Feng Lin. "On-line control of partially observed discrete event systems". Discrete Event Dynamic Systems: Theory and Applications 4, n.º 3 (julio de 1994): 221–36. http://dx.doi.org/10.1007/bf01438708.

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26

Bensoussan, Alain, Metin Çakanyıldırım y Suresh P. Sethi. "On the optimal control of partially observed inventory systems". Comptes Rendus Mathematique 341, n.º 7 (octubre de 2005): 419–26. http://dx.doi.org/10.1016/j.crma.2005.08.003.

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27

Achhab, M. Elarbi y Vincent Wertz. "On Stabilization of Partially Observed Infinite-Dimensional Semilinear Systems". IFAC Proceedings Volumes 46, n.º 26 (2013): 161–66. http://dx.doi.org/10.3182/20130925-3-fr-4043.00040.

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28

Yokotani, Misato y Shigemasa Takai. "Abstraction-Based Verification for Partially Observed Discrete Event Systems". IFAC Proceedings Volumes 47, n.º 2 (2014): 356–61. http://dx.doi.org/10.3182/20140514-3-fr-4046.00019.

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29

Cong, X. Y., M. P. Fanti, A. M. Mangini y Z. W. Li. "Critical Observability of Partially Observed Petri Nets". IFAC-PapersOnLine 53, n.º 4 (2020): 350–55. http://dx.doi.org/10.1016/j.ifacol.2021.04.055.

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30

TAKAI, Shigemasa. "Supervisory Control of Partially Observed Systems with Arbitrary Control Patterns". Transactions of the Institute of Systems, Control and Information Engineers 12, n.º 8 (1999): 498–504. http://dx.doi.org/10.5687/iscie.12.498.

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31

Shi, Yufeng y Qingfeng Zhu. "Partially observed optimal controls of forward-backward doubly stochastic systems". ESAIM: Control, Optimisation and Calculus of Variations 19, n.º 3 (3 de junio de 2013): 828–43. http://dx.doi.org/10.1051/cocv/2012035.

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32

Zhang, Q., G. Yin y L. Y. Wang. "A Deep Filtering Approach for Control of Partially Observed Systems". IEEE Control Systems Letters 5, n.º 4 (octubre de 2021): 1189–94. http://dx.doi.org/10.1109/lcsys.2020.3020337.

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33

Bensoussan, Alain, Metin Çakanyildirim y Suresh P. Sethi. "Partially Observed Inventory Systems: The Case of Zero‐Balance Walk". SIAM Journal on Control and Optimization 46, n.º 1 (enero de 2007): 176–209. http://dx.doi.org/10.1137/040620321.

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34

Chen, Maoyin, Hongdong Fan, Changhua Hu y Donghua Zhou. "Maintaining Partially Observed Systems With Imperfect Observation and Resource Constraint". IEEE Transactions on Reliability 63, n.º 4 (diciembre de 2014): 881–90. http://dx.doi.org/10.1109/tr.2014.2337792.

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35

Imani, Mahdi y Ulisses M. Braga-Neto. "Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems". IEEE Transactions on Signal Processing 65, n.º 2 (15 de enero de 2017): 359–71. http://dx.doi.org/10.1109/tsp.2016.2614798.

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36

Takai, Shigemasa. "Maximizing Robustness of Supervisors for Partially Observed Discrete Event Systems". IFAC Proceedings Volumes 37, n.º 11 (julio de 2004): 361–66. http://dx.doi.org/10.1016/s1474-6670(17)31637-3.

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37

Imani, Mahdi y Ulisses M. Braga-Neto. "Finite-horizon LQR controller for partially-observed Boolean dynamical systems". Automatica 95 (septiembre de 2018): 172–79. http://dx.doi.org/10.1016/j.automatica.2018.05.028.

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38

Gallant, A. Ronald y George Tauchen. "Reprojecting Partially Observed Systems with Application to Interest Rate Diffusions". Journal of the American Statistical Association 93, n.º 441 (marzo de 1998): 10–24. http://dx.doi.org/10.1080/01621459.1998.10474083.

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39

Chen, Jun, Mariam Ibrahim y Ratnesh Kumar. "Quantification of Secrecy in Partially Observed Stochastic Discrete Event Systems". IEEE Transactions on Automation Science and Engineering 14, n.º 1 (enero de 2017): 185–95. http://dx.doi.org/10.1109/tase.2016.2604222.

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40

Flory, John A., Jeffrey P. Kharoufeh y David T. Abdul-Malak. "Optimal replacement of continuously degrading systems in partially observed environments". Naval Research Logistics (NRL) 62, n.º 5 (27 de julio de 2015): 395–415. http://dx.doi.org/10.1002/nav.21638.

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41

Takai, Shigemasa. "Maximizing robustness of supervisors for partially observed discrete event systems". Automatica 40, n.º 3 (marzo de 2004): 531–35. http://dx.doi.org/10.1016/j.automatica.2003.11.006.

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42

Genc, Sahika y Stéphane Lafortune. "Predictability of event occurrences in partially-observed discrete-event systems". Automatica 45, n.º 2 (febrero de 2009): 301–11. http://dx.doi.org/10.1016/j.automatica.2008.06.022.

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43

Takai, Shigemasa. "Verification of robust diagnosability for partially observed discrete event systems". Automatica 48, n.º 8 (agosto de 2012): 1913–19. http://dx.doi.org/10.1016/j.automatica.2012.06.024.

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44

Bhaiya, Vishisht, M. K. Shrimali, S. D. Bharti y T. K. Datta. "Modified semiactive control with MR dampers for partially observed systems". Engineering Structures 191 (julio de 2019): 129–47. http://dx.doi.org/10.1016/j.engstruct.2019.04.063.

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45

Jasra, Ajay, Kody J. H. Law y Yi Xu. "A MULTILEVEL APPROACH FOR SEQUENTIAL INFERENCE ON PARTIALLY OBSERVED DETERMINISTIC SYSTEMS". International Journal for Uncertainty Quantification 9, n.º 4 (2019): 321–30. http://dx.doi.org/10.1615/int.j.uncertaintyquantification.2019027245.

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46

Jahanshahi, Niloofar, Pushpak Jagtap y Majid Zamani. "Synthesis of Partially Observed Jump-Diffusion Systems via Control Barrier Functions". IEEE Control Systems Letters 5, n.º 1 (enero de 2021): 253–58. http://dx.doi.org/10.1109/lcsys.2020.3001562.

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47

Tae-Sic Yoo y S. Lafortune. "Polynomial-time verification of diagnosability of partially observed discrete-event systems". IEEE Transactions on Automatic Control 47, n.º 9 (septiembre de 2002): 1491–95. http://dx.doi.org/10.1109/tac.2002.802763.

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48

Grecksch, W. y C. Tudor. "An identification problem for partially observed infinite dimensional linear stochastic systems". Optimization 43, n.º 3 (enero de 1998): 199–217. http://dx.doi.org/10.1080/02331939808844384.

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49

Cohen, Robert y Gérald Mazziotto. "Stochastic continuous control of partially observed systems via impulse control problems". Stochastics and Stochastic Reports 26, n.º 2 (febrero de 1989): 101–27. http://dx.doi.org/10.1080/17442508908833552.

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50

Yin, Xiang y Stephane Lafortune. "Synthesis of Maximally Permissive Supervisors for Partially-Observed Discrete-Event Systems". IEEE Transactions on Automatic Control 61, n.º 5 (mayo de 2016): 1239–54. http://dx.doi.org/10.1109/tac.2015.2460391.

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