Parameter estimation plays an important role in natural science, engineering, and many other disciplines. The key idea is to estimate unknown parameters p 1, ..., p n of a mathematical model that describes a real life situation, by minimizing the distance of some known experimental data from theoretically predicted values of a model function at certain time values. Thus, model parameters that cannot be measured directly can be identified by a least squares fit and analyzed subsequently in a quantitative way.
KeywordsSequential Quadratic Programming Distillation Column Differential Algebraic Equation Automatic Differentiation Parameter Estimation Problem
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