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Volumn 50, Issue 3, 2012, Pages 843-865

Sequential Monte Carlo-based fidelity selection in dynamic-data-driven adaptive multi-scale simulations

Author keywords

Bayesian inference; dynamic data driven simulations; fidelity selection; multi scale simulations; particle filter

Indexed keywords

BAYESIAN INFERENCE; DYNAMIC-DATA-DRIVEN SIMULATIONS; FIDELITY SELECTION; MULTI-SCALE SIMULATION; PARTICLE FILTER;

EID: 84860011914     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2010.545445     Document Type: Article
Times cited : (12)

References (43)
  • 1
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • Arulampalam, S., et al., 2002. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 50 (2), 174-188.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, S.1
  • 2
    • 77951545828 scopus 로고    scopus 로고
    • Sequential Monte Carlo-based fidelity selection in dynamic-data-driven adaptive multi-scale simulations (DDDAMS)
    • 13-19 December 2009, Austin, TX. Piscataway, NJ: IEEE
    • Celik, N. and Son, Y., 2009. Sequential Monte Carlo-based fidelity selection in dynamic-data-driven adaptive multi-scale simulations (DDDAMS). In: Proceedings of the 2009 winter simulation conference, 13-19 December 2009, Austin, TX. Piscataway, NJ: IEEE, 2281-2293.
    • (2009) Proceedings of the 2009 Winter Simulation Conference , pp. 2281-2293
    • Celik, N.1    Son, Y.2
  • 3
    • 77951126466 scopus 로고    scopus 로고
    • DDDAS-based multi-fidelity simulation framework for supply chain systems
    • Celik, N., et al., 2010. DDDAS-based multi-fidelity simulation framework for supply chain systems. IIE Transactions on Operations Engineering, 42 (5), 325-341.
    • (2010) IIE Transactions on Operations Engineering , vol.42 , Issue.5 , pp. 325-341
    • Celik, N.1
  • 4
    • 0034631280 scopus 로고    scopus 로고
    • Modelling the relationship between process parameters and mechanical properties using Bayesian neural networks for powder metal parts
    • DOI 10.1080/00207540050028052
    • Cherian, R.P., Midha, P.S., and Pipe, A.G., 2000. Modelling the relationship between process parameters and mechanical properties using Bayesian neural networks for powder metal parts. International Journal of Production Research, 38 (10), 2201-2214. (Pubitemid 35401846)
    • (2000) International Journal of Production Research , vol.38 , Issue.10 , pp. 2201-2214
    • Cherian, R.P.1    Midha, P.S.2    Pipe, A.G.3
  • 5
    • 46149107917 scopus 로고    scopus 로고
    • Bayesian ideas and discrete event simulation: Why, what and how?
    • 3-6 December 2006, Monterey, CA. NJ: IEEE
    • Chick, S.E., 2006. Bayesian ideas and discrete event simulation: Why, what and how? In: Proceedings of the 2006 winter simulation conference, 3-6 December 2006, Monterey, CA. NJ: IEEE, 96-106.
    • (2006) Proceedings of the 2006 Winter Simulation Conference , pp. 96-106
    • Chick, S.E.1
  • 6
    • 0031198496 scopus 로고    scopus 로고
    • A state space condition monitoring model for furnace erosion prediction and replacement
    • PII S037722179700132X
    • Christer, A.H., Wang, W., and Sharp, J.M., 1997. A state space condition monitoring model for furnace erosion prediction and replacement. European Journal of Operational Research, 101 (1), 1-14. (Pubitemid 127399910)
    • (1997) European Journal of Operational Research , vol.101 , Issue.1 , pp. 1-14
    • Christer, A.H.1    Wang, W.2    Sharp, J.M.3
  • 9
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Doucet, A., Godsill, S., and Andrieu, C., 2000. On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing, 10, 197-208.
    • (2000) Statistics and Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 10
    • 0029543165 scopus 로고
    • Simulation as a planning and scheduling tool for flexible manufacturing systems
    • 4-6 December 1995, Washington, DC. NJ: IEEE
    • Drake, G.R., Smith, J.S., and Peters, B.A., 1995. Simulation as a planning and scheduling tool for flexible manufacturing systems. Proceedings of the 1995 winter simulation conference, 4-6 December 1995, Washington, DC. NJ: IEEE, 805-812.
    • (1995) Proceedings of the 1995 Winter Simulation Conference , pp. 805-812
    • Drake, G.R.1    Smith, J.S.2    Peters, B.A.3
  • 11
    • 61449173971 scopus 로고    scopus 로고
    • Global supply chain control systems: A conceptual framework for the global control centre
    • Dreyer, H.C., et al., 2009. Global supply chain control systems: a conceptual framework for the global control centre. Production Planning & Control, 20 (2), 147-157.
    • (2009) Production Planning & Control , vol.20 , Issue.2 , pp. 147-157
    • Dreyer, H.C.1
  • 13
    • 0029199714 scopus 로고
    • A new approach for filtering nonlinear systems
    • 21-23 June 1995, Seattle, WA. NY: Hemisphere Publishing
    • Julier, S., Jeffery K. and Hugh, F., 1995. A new approach for filtering nonlinear systems. Proceedings of the 1995 American control conference, 21-23 June 1995, Seattle, WA. NY: Hemisphere Publishing, 1628-1632.
    • (1995) Proceedings of the 1995 American Control Conference , pp. 1628-1632
    • Julier, S.1    Jeffery, K.2    Hugh, F.3
  • 14
    • 0028594405 scopus 로고
    • Simulation-based real-time scheduling in a flexible manufacturing system
    • Kim, M.H. and Kim, Y.D., 1994. Simulation-based real-time scheduling in a flexible manufacturing system. Journal of Manufacturing Systems, 13 (2), 85-93.
    • (1994) Journal of Manufacturing Systems , vol.13 , Issue.2 , pp. 85-93
    • Kim, M.H.1    Kim, Y.D.2
  • 15
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • Kitagawa, G., 1996. Monte Carlo filter and smoother for non-Gaussian nonlinear state space models. Journal of Computational and Graphical Statistics, 5, 1-25.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 16
    • 0030396374 scopus 로고    scopus 로고
    • Programming combined discrete-continuous simulation models for performance
    • J.M. Charnes, D.J. Morrice, D.T Brunner, and J.J. Swain, eds., 8-11 December 1996, Coronado, CA, NJ: IEEE
    • Klingener, J.K., 1996. Programming combined discrete-continuous simulation models for performance. In: J.M. Charnes, D.J. Morrice, D.T Brunner, and J.J. Swain, eds. Proceedings of the 1996 winter simulation conference, 8-11 December 1996, Coronado, CA, NJ: IEEE, 833-839.
    • (1996) Proceedings of the 1996 Winter Simulation Conference , pp. 833-839
    • Klingener, J.K.1
  • 17
    • 48049100176 scopus 로고    scopus 로고
    • Simulation based control: From shop floor to top floor
    • Lee, S., Son, Y., and Wysk, R., 2007. Simulation based control: From shop floor to top floor. Journal of Manufacturing Systems, 26 (2), 85-98.
    • (2007) Journal of Manufacturing Systems , vol.26 , Issue.2 , pp. 85-98
    • Lee, S.1    Son, Y.2    Wysk, R.3
  • 18
    • 21344458535 scopus 로고    scopus 로고
    • Metropolized independent sampling with comparisons to rejection sampling and importance sampling
    • Liu, J.S., 1996. Metropolised independent sampling with comparison to rejection sampling and importance sampling. Statistics and Computing, 6, 113-119. (Pubitemid 126724248)
    • (1996) Statistics and Computing , vol.6 , Issue.2 , pp. 113-119
    • Liu, J.S.1
  • 19
    • 54449089010 scopus 로고    scopus 로고
    • Neural network learning of optimal Kalman prediction and control
    • Linsker, R., 2008. Neural network learning of optimal Kalman prediction and control. Neural Networks, 21 (9), 1328-1343.
    • (2008) Neural Networks , vol.21 , Issue.9 , pp. 1328-1343
    • Linsker, R.1
  • 22
    • 84859943349 scopus 로고    scopus 로고
    • Bucuresti Filter-Workshop, Institute fur Angewandte Physik, J.W. Goethe-Universitat Frankfurt [Online]
    • Muhlich, M., 2003. Particle filters: a tutorial. Bucuresti Filter-Workshop, Institute fur Angewandte Physik, J.W. Goethe-Universitat Frankfurt [Online]. Available from: www.uni-frankfurt.de/sci/ TalkBucurestiMar2004.pdf.
    • (2003) Particle Filters: A Tutorial
    • Muhlich, M.1
  • 26
    • 0036929116 scopus 로고    scopus 로고
    • Implementation of a simulation-based control architecture for supply chain interactions
    • 8-11 December 2002, San Diego, CA. NJ: IEEE
    • Ramakrishnan, S., Lee, S. and Wysk, R.A., 2002. Implementation of a simulation-based control architecture for supply chain interactions. Proceedings of the 2002 winter simulation conference, 8-11 December 2002, San Diego, CA. NJ: IEEE, 1667-1674.
    • (2002) Proceedings of the 2002 Winter Simulation Conference , pp. 1667-1674
    • Ramakrishnan, S.1    Lee, S.2    Wysk, R.A.3
  • 27
    • 0037527978 scopus 로고    scopus 로고
    • A sequential Monte Carlo method for Bayesian analysis of massive datasets
    • Ridgeway, G. and Madigan, D., 2003. A sequential Monte Carlo method for Bayesian analysis of massive datasets. Data Mining and Knowledge Discovery, 7 (3), 301-319.
    • (2003) Data Mining and Knowledge Discovery , vol.7 , Issue.3 , pp. 301-319
    • Ridgeway, G.1    Madigan, D.2
  • 28
    • 0034316827 scopus 로고    scopus 로고
    • Fine planning for supply chains in semiconductor manufacture
    • DOI 10.1016/S0924-0136(00)00724-X
    • Rupp, T.M. and Ristic, M., 2000. Fine planning for supply chains in semiconductor manufacture. Journal of Materials Processing Technology, 107(1-3), 390-397. (Pubitemid 32072630)
    • (2000) Journal of Materials Processing Technology , vol.107 , Issue.1-3 , pp. 390-397
    • Rupp, T.M.1    Ristic, M.2
  • 29
    • 1242310246 scopus 로고    scopus 로고
    • Bayesian estimation of the rate at which a process, monitored by an X chart, goes out of control
    • Silver, E.A. and Bischak, D.P., 2004. Bayesian estimation of the rate at which a process, monitored by an X chart, goes out of control. International Journal of Production Research, 42 (6), 1227-1242.
    • (2004) International Journal of Production Research , vol.42 , Issue.6 , pp. 1227-1242
    • Silver, E.A.1    Bischak, D.P.2
  • 31
    • 0042370532 scopus 로고    scopus 로고
    • Simulation-based shop floor control
    • Son, Y.J., et al., 2002. Simulation-based shop floor control. Journal of Manufacturing Systems, 21 (5), 380-394.
    • (2002) Journal of Manufacturing Systems , vol.21 , Issue.5 , pp. 380-394
    • Son, Y.J.1
  • 33
    • 0037236081 scopus 로고    scopus 로고
    • Simulation based shop floor control: Formal model, model generation and control interface
    • Son, Y.J., Wysk, R.A., and Jones, A.T., 2003. Simulation based shop floor control: Formal model, model generation and control interface. IIE Transactions on Design and Manufacturing, 35 (1), 29-48.
    • (2003) IIE Transactions on Design and Manufacturing , vol.35 , Issue.1 , pp. 29-48
    • Son, Y.J.1    Wysk, R.A.2    Jones, A.T.3
  • 34
    • 33748926626 scopus 로고    scopus 로고
    • Multivariate control charts based on bayesian state space models
    • DOI 10.1002/qre.807
    • Triantafyllopoulos, K., 2006. Multivariate control charts based on Bayesian state space models. Quality and Reliability Engineering International, 22, 693-707. (Pubitemid 44433801)
    • (2006) Quality and Reliability Engineering International , vol.22 , Issue.6 , pp. 693-707
    • Triantafyllopoulos, K.1
  • 35
    • 27544460134 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for multi-target filtering with random finite sets
    • DOI 10.1109/TAES.2005.1561884
    • Vo, B.N., Singh, S., and Doucet, A., 2005. Sequential Monte Carlo methods for multi-target filtering with random finite sets. IEEE Transactions on Aerospace and Electronic Systems, 41 (4), 1224-1245. (Pubitemid 43033914)
    • (2005) IEEE Transactions on Aerospace and Electronic Systems , vol.41 , Issue.4 , pp. 1224-1245
    • Vo, B.-N.1    Singh, S.2    Doucet, A.3
  • 36
    • 0003359612 scopus 로고    scopus 로고
    • The unscented Kalman filter
    • S. Haykin, ed. NY: Wiley Publishing
    • Wan, E. and Van der Merwe, R., 2001. The unscented Kalman filter. In: S. Haykin, ed. Kalman filtering and neural networks. NY: Wiley Publishing, 221-280.
    • (2001) Kalman Filtering and Neural Networks , pp. 221-280
    • Wan, E.1    Van Der Merwe, R.2
  • 37
    • 33845288662 scopus 로고    scopus 로고
    • Video object tracking using adaptive Kalman filter
    • DOI 10.1016/j.jvcir.2006.03.004, PII S1047320306000113
    • Weng, S., Kuo, C., and Tu, S., 2006. Video object tracking using adaptive Kalman filter. Journal of Visual Communication and Image Representation, 17 (6), 1190-1208. (Pubitemid 44872951)
    • (2006) Journal of Visual Communication and Image Representation , vol.17 , Issue.6 , pp. 1190-1208
    • Weng, S.-K.1    Kuo, C.-M.2    Tu, S.-K.3
  • 39
    • 0023868237 scopus 로고
    • Multi-pass expert control system-A control/scheduling structure for flexible manufacturing cells
    • Wu, D. and Wysk, R.A., 1988. Multi-pass expert control system-A control/scheduling structure for flexible manufacturing cells. Journal of Manufacturing Systems, 7 (2), 107-120.
    • (1988) Journal of Manufacturing Systems , vol.7 , Issue.2 , pp. 107-120
    • Wu, D.1    Wysk, R.A.2
  • 40
    • 2942532415 scopus 로고    scopus 로고
    • An extended Kalman filter for collaborative supply chains
    • Wu, T. and O'Grady, P., 2004. An extended Kalman filter for collaborative supply chains. International Journal of Production Research, 42 (12), 2457-2475.
    • (2004) International Journal of Production Research , vol.42 , Issue.12 , pp. 2457-2475
    • Wu, T.1    O'Grady, P.2
  • 41
    • 46449099951 scopus 로고    scopus 로고
    • Distributed combined discrete-continuous simulation for multiple MAVs motion analysis
    • Xia, Z. and Lin, K.C., 2003. Distributed combined discrete-continuous simulation for multiple MAVs motion analysis. Simulation Series, 35 (1), 162-170.
    • (2003) Simulation Series , vol.35 , Issue.1 , pp. 162-170
    • Xia, Z.1    Lin, K.C.2
  • 42
    • 79951821799 scopus 로고    scopus 로고
    • Bayesian hierarchical models for combining misaligned two-resolution metrology data
    • Xia, H., Ding, Y. and Mallick, B., 2011. Bayesian hierarchical models for combining misaligned two-resolution metrology data. IEE Transactions, 43, 242-258.
    • (2011) IEE Transactions , vol.43 , pp. 242-258
    • Xia, H.1    Ding, Y.2    Mallick, B.3


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