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- W2617680462 abstract "Abstract The classical least squares approach ignores a priori information about the feasible values of the estimated parameters. But in many practical problems, such information is available in the form of upper and lower limits. In this paper, two alternative techniques are evaluated for this important class of constrained parameter estimation problems for linear, dynamic systems. Simulation results for two blending problems illustrate that more accurate parameter estimates and better predictions can be obtained using a quadratic programming approach." @default.
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- W2617680462 date "1998-06-01" @default.
- W2617680462 modified "2023-09-26" @default.
- W2617680462 title "Constrained Parameter Estimation with Applications to Blending Operations" @default.
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- W2617680462 doi "https://doi.org/10.1016/s1474-6670(17)44933-0" @default.
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