An extended Marquardt-type procedure for fitting error-in-variables models
The paper presents a simple derivation of the method of fitting nonlinear algebraic models where all variables are subject to error and improves the numerical efficiency of the algorithm. Including a known procedure for equilibrating balance equations and factorizing the weighting matrix, the classi...
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Published in | Computers & chemical engineering Vol. 11; no. 1; pp. 37 - 43 |
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Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
1987
Elsevier |
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Abstract | The paper presents a simple derivation of the method of fitting nonlinear algebraic models where all variables are subject to error and improves the numerical efficiency of the algorithm. Including a known procedure for equilibrating balance equations and factorizing the weighting matrix, the classical Gauss-Marquardt method of estimating parameters in nonlinear models is shown to handle also the error-in-variables model, thereby extending the efficiency and robustness of Marquardt's compromise to this slightly more involved case. |
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AbstractList | The paper presents a simple derivation of the method of fitting nonlinear algebraic models where all variables are subject to error and improves the numerical efficiency of the algorithm. Including a known procedure for equilibrating balance equations and factorizing the weighting matrix, the classical Gauss-Marquardt method of estimating parameters in nonlinear models is shown to handle also the error-in-variables model, thereby extending the efficiency and robustness of Marquardt's compromise to this slightly more involved case. |
Author | Valkó, P. Vajda, S. |
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Cites_doi | 10.1002/aic.690280519 10.2307/1267784 10.2307/1270208 10.1002/kin.550170107 10.1002/aic.690260208 10.1016/0009-2509(81)80061-9 10.2307/1267519 10.2307/1266919 10.1137/0707011 10.1002/aic.690280409 10.1016/0009-2509(80)85096-2 10.2307/1266984 10.2307/1270465 |
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Keywords | Non linear equation Algebraic equation Error Parameter estimation Mathematical model Chemical engineering |
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Engng Sci. doi: 10.1016/0009-2509(80)85096-2 – volume: 15 start-page: 233 year: 1973 ident: 10.1016/0098-1354(87)80004-2_BIB4 article-title: The estimation of parameters in nonlinear implicit models publication-title: Technometrics doi: 10.2307/1266984 – volume: 57 start-page: 44 year: 1961 ident: 10.1016/0098-1354(87)80004-2_BIB5 article-title: Computer control II publication-title: Chem. Engng Prog. – year: 1970 ident: 10.1016/0098-1354(87)80004-2_BIB10 – volume: 27 start-page: 17 year: 1985 ident: 10.1016/0098-1354(87)80004-2_BIB14 article-title: Numerical methods for estimating parameters in nonlinear models with errors in variables publication-title: Technometrics doi: 10.2307/1270465 |
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SubjectTerms | Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences Chemical engineering Exact sciences and technology |
Title | An extended Marquardt-type procedure for fitting error-in-variables models |
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