메뉴 건너뛰기




Volumn 57, Issue , 2013, Pages 159-172

Parameter estimation in batch process using EM algorithm with particle filter

Author keywords

Batch process; EM algorithm; Parameter estimation; Particle filter

Indexed keywords

BATCH PROCESS; EM ALGORITHMS; ESTIMATION APPROACHES; EXPECTATION-MAXIMIZATION ALGORITHMS; MAXIMUM LIKELIHOOD METHODS; PARAMETER ESTIMATION PROBLEMS; PARTICLE FILTER; PARTICLE FILTERING METHODS;

EID: 84883414140     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2013.03.024     Document Type: Article
Times cited : (37)

References (29)
  • 1
    • 10944251332 scopus 로고    scopus 로고
    • Particle methods for change detection, system identification, and control
    • Andrieu C., Doucet A., Singh S., Tadic V.B. Particle methods for change detection, system identification, and control. Proceedings of the IEEE 92 2004, 423-443.
    • (2004) Proceedings of the IEEE 92 , pp. 423-443
    • Andrieu, C.1    Doucet, A.2    Singh, S.3    Tadic, V.B.4
  • 4
    • 11844302910 scopus 로고    scopus 로고
    • Resampling algorithms for particle filters: a computational complexity perspective
    • Boloc M., Djuric P., Hong S. Resampling algorithms for particle filters: a computational complexity perspective. EURASIP Journal of Applied Signal Processing 2004, 15:2267-2277.
    • (2004) EURASIP Journal of Applied Signal Processing , vol.15 , pp. 2267-2277
    • Boloc, M.1    Djuric, P.2    Hong, S.3
  • 5
    • 84883444106 scopus 로고    scopus 로고
    • Smoothing algorithms for state-space models (Technical Report CUED/F-INFENG/TR.498). Cambridge University Engineering Department
    • Briers, M., Doucet, A., & Maskell, S. (2004). Smoothing algorithms for state-space models (Technical Report CUED/F-INFENG/TR.498). Cambridge University Engineering Department.
    • (2004)
    • Briers, M.1    Doucet, A.2    Maskell, S.3
  • 6
    • 17744380204 scopus 로고    scopus 로고
    • Particle filters for state and parameter estimation in batch processes
    • Chen T., Morris J., Martin E. Particle filters for state and parameter estimation in batch processes. Journal of Process Control 2005, 15:665-673.
    • (2005) Journal of Process Control , vol.15 , pp. 665-673
    • Chen, T.1    Morris, J.2    Martin, E.3
  • 7
    • 77955517869 scopus 로고    scopus 로고
    • A comparison of simultaneous state and parameter estimation schemes for a continuous fermentor reactor
    • Chitralekha S.B., Prakash J., Raghavan H., Gopaluni R.B., Shah S.L. A comparison of simultaneous state and parameter estimation schemes for a continuous fermentor reactor. Journal of Process Control 2010, 20:934-943.
    • (2010) Journal of Process Control , vol.20 , pp. 934-943
    • Chitralekha, S.B.1    Prakash, J.2    Raghavan, H.3    Gopaluni, R.B.4    Shah, S.L.5
  • 8
    • 23844456306 scopus 로고    scopus 로고
    • Nonlinear filters: beyond the Kalman filter
    • Daum F. Nonlinear filters: beyond the Kalman filter. IEEE AandE Systems Magazine 2005, 20(8):57-69.
    • (2005) IEEE AandE Systems Magazine , vol.20 , Issue.8 , pp. 57-69
    • Daum, F.1
  • 10
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Doucet A., Godsill S., Andrieu C. On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing 2000, 10:197-208.
    • (2000) Statistics and Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 11
    • 59349110051 scopus 로고    scopus 로고
    • A particle filter approach to identification of nonlinear process under missing observations
    • Gopaluni R.B. A particle filter approach to identification of nonlinear process under missing observations. The Canadian Journal of Chemical Engineering 2008, 86:1081-1092.
    • (2008) The Canadian Journal of Chemical Engineering , vol.86 , pp. 1081-1092
    • Gopaluni, R.B.1
  • 12
    • 75149167375 scopus 로고    scopus 로고
    • Nonlinear system identification under missing observations: The case of unknown model structure
    • Gopaluni R.B. Nonlinear system identification under missing observations: The case of unknown model structure. Journal of Process Control 2010, 20:314-324.
    • (2010) Journal of Process Control , vol.20 , pp. 314-324
    • Gopaluni, R.B.1
  • 13
    • 0027580559 scopus 로고
    • Novel approach to nonlinear non Gaussian Bayesian state estimation
    • Gordon N., Salmond D., Smith A.F.M. Novel approach to nonlinear non Gaussian Bayesian state estimation. IEE Proceedings-F 140 1993, 107-113.
    • (1993) IEE Proceedings-F 140 , pp. 107-113
    • Gordon, N.1    Salmond, D.2    Smith, A.F.M.3
  • 14
    • 0036469252 scopus 로고    scopus 로고
    • State and parameter estimation in biotechnical batch reactors
    • Keesman K.J. State and parameter estimation in biotechnical batch reactors. Control Engineering Practice 2002, 10:219-225.
    • (2002) Control Engineering Practice , vol.10 , pp. 219-225
    • Keesman, K.J.1
  • 16
    • 80055057496 scopus 로고    scopus 로고
    • Parameter estimation in batch bioreactor simulation using metabolic models: sequential solution with direct sensitivities
    • Leppavuori J.T., Domach M.M., Biegler L.T. Parameter estimation in batch bioreactor simulation using metabolic models: sequential solution with direct sensitivities. Industrial & Engineering Chemistry Research 2011, 50(21):12080-12091.
    • (2011) Industrial & Engineering Chemistry Research , vol.50 , Issue.21 , pp. 12080-12091
    • Leppavuori, J.T.1    Domach, M.M.2    Biegler, L.T.3
  • 17
    • 77957929238 scopus 로고    scopus 로고
    • Robust two-dimensional iterative learning control for batch processes with state delay and time-varying uncertainties
    • Liu T., Gao F. Robust two-dimensional iterative learning control for batch processes with state delay and time-varying uncertainties. Chemical Engineering Science 2010, 65(23):6134-6144.
    • (2010) Chemical Engineering Science , vol.65 , Issue.23 , pp. 6134-6144
    • Liu, T.1    Gao, F.2
  • 18
    • 30544445406 scopus 로고    scopus 로고
    • Two-dimensional dynamic PCA for batch process monitoring
    • Lu N., Yao Y., Gao F., Wang F. Two-dimensional dynamic PCA for batch process monitoring. AIChE Journal 2005, 51:3300-3304.
    • (2005) AIChE Journal , vol.51 , pp. 3300-3304
    • Lu, N.1    Yao, Y.2    Gao, F.3    Wang, F.4
  • 20
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component analysis
    • Nomikos P., MacGregor J.F. Monitoring batch processes using multiway principal component analysis. AIChE Journal 1994, 40(8):1361-1375.
    • (1994) AIChE Journal , vol.40 , Issue.8 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 21
    • 84859523377 scopus 로고    scopus 로고
    • Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill
    • Olivier L.E., Huang B., Craig I.K. Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill. Journal of Process Control 2012, 22:710-717.
    • (2012) Journal of Process Control , vol.22 , pp. 710-717
    • Olivier, L.E.1    Huang, B.2    Craig, I.K.3
  • 22
    • 80053634604 scopus 로고    scopus 로고
    • Recursive maximum likelihood parameter estimation for state space systems using polynomial chaos theory
    • Pence B.L., Fathy H.K., Stein J.L. Recursive maximum likelihood parameter estimation for state space systems using polynomial chaos theory. Automatica 2011, 47:2420-2424.
    • (2011) Automatica , vol.47 , pp. 2420-2424
    • Pence, B.L.1    Fathy, H.K.2    Stein, J.L.3
  • 23
    • 2542631659 scopus 로고    scopus 로고
    • An EM algorithm for identification of nonlinear dynamical systems
    • Wiley, New York, S. Haykin (Ed.)
    • Roweis S., Ghahramani Z. An EM algorithm for identification of nonlinear dynamical systems. Kalman Filtering and Neural Networks 2001, 175-220. Wiley, New York. S. Haykin (Ed.).
    • (2001) Kalman Filtering and Neural Networks , pp. 175-220
    • Roweis, S.1    Ghahramani, Z.2
  • 24
    • 35648984763 scopus 로고    scopus 로고
    • Estimation of nonlinear dynamic systems - theory and applications
    • (Ph.D. Dissertations, No. 998)
    • Schon, T. B. (2006). Estimation of nonlinear dynamic systems - theory and applications (Ph.D. Dissertations, No. 998). Linkoping Studies in Science and Technology.
    • (2006) Linkoping Studies in Science and Technology
    • Schon, T.B.1
  • 25
    • 0036475891 scopus 로고    scopus 로고
    • Particle filters for state-space models with the presence of unknown static parameters
    • Storvik G. Particle filters for state-space models with the presence of unknown static parameters. IEEE Transaction on Signal processings 2002, 50(2):281-289.
    • (2002) IEEE Transaction on Signal processings , vol.50 , Issue.2 , pp. 281-289
    • Storvik, G.1
  • 26
    • 42949159158 scopus 로고    scopus 로고
    • Modeling and parameter identification of microbial bioconversion in fed-batch cultures
    • Wang G., Feng E., Xiu Z. Modeling and parameter identification of microbial bioconversion in fed-batch cultures. Journal of Process Control 2008, 18:458-464.
    • (2008) Journal of Process Control , vol.18 , pp. 458-464
    • Wang, G.1    Feng, E.2    Xiu, Z.3
  • 28
    • 44749086556 scopus 로고    scopus 로고
    • Subspace identification for two-dimensional dynamic batch process statistical monitoring
    • Yao Y., Gao F. Subspace identification for two-dimensional dynamic batch process statistical monitoring. Chemical Engineering Science 2008, 63(13):3411-3418.
    • (2008) Chemical Engineering Science , vol.63 , Issue.13 , pp. 3411-3418
    • Yao, Y.1    Gao, F.2
  • 29
    • 84875237511 scopus 로고    scopus 로고
    • State estimation based on Bayesian method in batch process with missing measurements
    • Zhao Z., Huang B., Liu F. State estimation based on Bayesian method in batch process with missing measurements. Computers and Chemical Engineering 2013, 53:14-24.
    • (2013) Computers and Chemical Engineering , vol.53 , pp. 14-24
    • Zhao, Z.1    Huang, B.2    Liu, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.