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- W2526698072 abstract "Both real-time and off-line optimizations are commonly performed in order to enhance productivity. The optimization problem is often posed as a nonlinear programming (NLP) problem solved by a SQP algorithm. When processes need to be described by differential equations, difficulties will arise in using SQP algorithms, since Jacobians of constraints described by differential equations will have to be evaluated. In this paper, we show how to derive analytical expressions for both Jacobian and Hessian matrices for the constraints described by ordinary differential equations, without increasing the dimension of the resultant NLP problem to be solved." @default.
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- W2526698072 date "2006-01-01" @default.
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- W2526698072 title "MODELING OF NLP PROBLEMS OF CHEMICAL PROCESSES DESCRIBED BY ODEs" @default.
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- W2526698072 doi "https://doi.org/10.3182/20060402-4-br-2902.00803" @default.
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