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Journal articles on the topic 'Partially observed systems'

Author: Grafiati

Published: 22 February 2025

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1

Chédor, Sébastien, Christophe Morvan, Sophie Pinchinat, and Hervé Marchand. "Analysis of partially observed recursive tile systems." IFAC Proceedings Volumes 45, no. 29 (2012): 265–71. http://dx.doi.org/10.3182/20121003-3-mx-4033.00044.

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2

Zhou, Changyan, and Ratnesh Kumar. "Bisimilarity Control of Partially Observed Deterministic Systems." IEEE Transactions on Automatic Control 52, no. 9 (September 2007): 1642–53. http://dx.doi.org/10.1109/tac.2007.904470.

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3

Gupta, Deepak, and Sanjib Sabhapandit. "Entropy production for partially observed harmonic systems." Journal of Statistical Mechanics: Theory and Experiment 2020, no. 1 (January 8, 2020): 013204. http://dx.doi.org/10.1088/1742-5468/ab54b6.

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4

Aggoun, Lakhdar, and Lakdere Benkherouf. "FILTERING OF PARTIALLY OBSERVED STOCHASTIC MULTICOMPARTMENTAL SYSTEMS." Stochastic Analysis and Applications 19, no. 2 (March 27, 2001): 171–82. http://dx.doi.org/10.1081/sap-100001636.

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5

Achhab, M. E., and S. Cherkaoui. "Stabilization of partially observed stochastic evolution systems." Systems & Control Letters 13, no. 1 (July 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, no. 1-2 (August 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, no. 3 (January 1987): 353–63. http://dx.doi.org/10.1080/07362998708809122.

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8

Paulin, Daniel, Ajay Jasra, Dan Crisan, and Alexandros Beskos. "On concentration properties of partially observed chaotic systems." Advances in Applied Probability 50, no. 2 (June 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., and Tom Lindstr�m. "Random relaxed controls and partially observed stochastic systems." Acta Applicandae Mathematicae 32, no. 2 (August 1993): 157–82. http://dx.doi.org/10.1007/bf00998151.

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10

Imani, Mahdi, and Ulisses M. Braga-Neto. "Particle filters for partially-observed Boolean dynamical systems." Automatica 87 (January 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, and Alexandros Beskos. "Optimization Based Methods for Partially Observed Chaotic Systems." Foundations of Computational Mathematics 19, no. 3 (April 25, 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, and R. Fablet. "Learning latent dynamics for partially observed chaotic systems." Chaos: An Interdisciplinary Journal of Nonlinear Science 30, no. 10 (October 2020): 103121. http://dx.doi.org/10.1063/5.0019309.

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13

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

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14

Tandeo, Pierre, Pierre Ailliot, and Florian Sévellec. "Data-driven reconstruction of partially observed dynamical systems." Nonlinear Processes in Geophysics 30, no. 2 (June 9, 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, and 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, no. 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, no. 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, no. 12 (2010): 205–10. http://dx.doi.org/10.3182/20100830-3-de-4013.00035.

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18

Ugrinovskii, Valery A., and Ian R. Petersen. "Minimax LQG Control of Stochastic Partially Observed Uncertain Systems." SIAM Journal on Control and Optimization 40, no. 4 (January 2002): 1189–226. http://dx.doi.org/10.1137/s0363012998349352.

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19

Chattopadhyay, I., and A. Ray. "A language measure for partially observed discrete event systems." International Journal of Control 79, no. 9 (September 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, no. 1 (July 2003): 150–69. http://dx.doi.org/10.1016/s1571-0661(04)80637-6.

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21

Thistle, J. G., and H. M. Lamouchi. "Effective Control Synthesis for Partially Observed Discrete-Event Systems." SIAM Journal on Control and Optimization 48, no. 3 (January 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, and Ruixia Shi. "Partially Observed Inventory Systems: The Case of Rain Checks." SIAM Journal on Control and Optimization 47, no. 5 (January 2008): 2490–519. http://dx.doi.org/10.1137/070688663.

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23

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

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24

Prosser, J. H., M. Kam, and H. G. Kwatny. "Online supervisor synthesis for partially observed discrete-event systems." IEEE Transactions on Automatic Control 43, no. 11 (1998): 1630–34. http://dx.doi.org/10.1109/9.728885.

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25

Heymann, Michael, and Feng Lin. "On-line control of partially observed discrete event systems." Discrete Event Dynamic Systems: Theory and Applications 4, no. 3 (July 1994): 221–36. http://dx.doi.org/10.1007/bf01438708.

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26

Bensoussan, Alain, Metin Çakanyıldırım, and Suresh P. Sethi. "On the optimal control of partially observed inventory systems." Comptes Rendus Mathematique 341, no. 7 (October 2005): 419–26. http://dx.doi.org/10.1016/j.crma.2005.08.003.

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27

Achhab, M. Elarbi, and Vincent Wertz. "On Stabilization of Partially Observed Infinite-Dimensional Semilinear Systems." IFAC Proceedings Volumes 46, no. 26 (2013): 161–66. http://dx.doi.org/10.3182/20130925-3-fr-4043.00040.

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28

Yokotani, Misato, and Shigemasa Takai. "Abstraction-Based Verification for Partially Observed Discrete Event Systems." IFAC Proceedings Volumes 47, no. 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, and Z. W. Li. "Critical Observability of Partially Observed Petri Nets." IFAC-PapersOnLine 53, no. 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, no. 8 (1999): 498–504. http://dx.doi.org/10.5687/iscie.12.498.

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31

Shi, Yufeng, and Qingfeng Zhu. "Partially observed optimal controls of forward-backward doubly stochastic systems." ESAIM: Control, Optimisation and Calculus of Variations 19, no. 3 (June 3, 2013): 828–43. http://dx.doi.org/10.1051/cocv/2012035.

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32

Zhang, Q., G. Yin, and L. Y. Wang. "A Deep Filtering Approach for Control of Partially Observed Systems." IEEE Control Systems Letters 5, no. 4 (October 2021): 1189–94. http://dx.doi.org/10.1109/lcsys.2020.3020337.

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33

Bensoussan, Alain, Metin Çakanyildirim, and Suresh P. Sethi. "Partially Observed Inventory Systems: The Case of Zero‐Balance Walk." SIAM Journal on Control and Optimization 46, no. 1 (January 2007): 176–209. http://dx.doi.org/10.1137/040620321.

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34

Chen, Maoyin, Hongdong Fan, Changhua Hu, and Donghua Zhou. "Maintaining Partially Observed Systems With Imperfect Observation and Resource Constraint." IEEE Transactions on Reliability 63, no. 4 (December 2014): 881–90. http://dx.doi.org/10.1109/tr.2014.2337792.

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35

Imani, Mahdi, and Ulisses M. Braga-Neto. "Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems." IEEE Transactions on Signal Processing 65, no. 2 (January 15, 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, no. 11 (July 2004): 361–66. http://dx.doi.org/10.1016/s1474-6670(17)31637-3.

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37

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

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38

Gallant, A. Ronald, and George Tauchen. "Reprojecting Partially Observed Systems with Application to Interest Rate Diffusions." Journal of the American Statistical Association 93, no. 441 (March 1998): 10–24. http://dx.doi.org/10.1080/01621459.1998.10474083.

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39

Chen, Jun, Mariam Ibrahim, and Ratnesh Kumar. "Quantification of Secrecy in Partially Observed Stochastic Discrete Event Systems." IEEE Transactions on Automation Science and Engineering 14, no. 1 (January 2017): 185–95. http://dx.doi.org/10.1109/tase.2016.2604222.

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40

Flory, John A., Jeffrey P. Kharoufeh, and David T. Abdul-Malak. "Optimal replacement of continuously degrading systems in partially observed environments." Naval Research Logistics (NRL) 62, no. 5 (July 27, 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, no. 3 (March 2004): 531–35. http://dx.doi.org/10.1016/j.automatica.2003.11.006.

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42

Genc, Sahika, and Stéphane Lafortune. "Predictability of event occurrences in partially-observed discrete-event systems." Automatica 45, no. 2 (February 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, no. 8 (August 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, and T. K. Datta. "Modified semiactive control with MR dampers for partially observed systems." Engineering Structures 191 (July 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, and Yi Xu. "A MULTILEVEL APPROACH FOR SEQUENTIAL INFERENCE ON PARTIALLY OBSERVED DETERMINISTIC SYSTEMS." International Journal for Uncertainty Quantification 9, no. 4 (2019): 321–30. http://dx.doi.org/10.1615/int.j.uncertaintyquantification.2019027245.

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46

Jahanshahi, Niloofar, Pushpak Jagtap, and Majid Zamani. "Synthesis of Partially Observed Jump-Diffusion Systems via Control Barrier Functions." IEEE Control Systems Letters 5, no. 1 (January 2021): 253–58. http://dx.doi.org/10.1109/lcsys.2020.3001562.

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47

Tae-Sic Yoo and S. Lafortune. "Polynomial-time verification of diagnosability of partially observed discrete-event systems." IEEE Transactions on Automatic Control 47, no. 9 (September 2002): 1491–95. http://dx.doi.org/10.1109/tac.2002.802763.

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48

Grecksch, W., and C. Tudor. "An identification problem for partially observed infinite dimensional linear stochastic systems." Optimization 43, no. 3 (January 1998): 199–217. http://dx.doi.org/10.1080/02331939808844384.

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49

Cohen, Robert, and Gérald Mazziotto. "Stochastic continuous control of partially observed systems via impulse control problems." Stochastics and Stochastic Reports 26, no. 2 (February 1989): 101–27. http://dx.doi.org/10.1080/17442508908833552.

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50

Yin, Xiang, and Stephane Lafortune. "Synthesis of Maximally Permissive Supervisors for Partially-Observed Discrete-Event Systems." IEEE Transactions on Automatic Control 61, no. 5 (May 2016): 1239–54. http://dx.doi.org/10.1109/tac.2015.2460391.

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